1945 lines
76 KiB
TeX
1945 lines
76 KiB
TeX
% This LaTeX was auto-generated from MATLAB code.
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% To make changes, update the MATLAB code and export to LaTeX again.
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\documentclass{article}
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\usepackage[utf8]{inputenc}
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\usepackage[T1]{fontenc}
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\usepackage{lmodern}
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\usepackage{graphicx}
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\usepackage{color}
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\usepackage{hyperref}
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\usepackage{amsmath}
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\usepackage{amsfonts}
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\usepackage{epstopdf}
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\usepackage[table]{xcolor}
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\usepackage{matlab}
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\sloppy
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\epstopdfsetup{outdir=./}
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\graphicspath{ {./GaitVariabilityAnalysisLD_images/} }
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\matlabhastoc
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\begin{document}
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\label{T_D37184EE}
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\matlabtitle{Gait Variability Analysis CLBP}
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\matlabtableofcontents{Table of Contents}
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\begin{matlabcode}
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% Gait Variability Analysis
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% Script created for MAP 2020-2021
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% adapted from Claudine Lamoth and Iris Hagoort
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% version1 October 2020
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% Input: needs mat file which contains all raw accelerometer data
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% Input: needs excel file containing the participant information including
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% leg length.
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\end{matlabcode}
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\label{H_7D86BAF1}
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\matlabheading{Clear and close;}
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\begin{matlabcode}
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clear;
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close all;
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\end{matlabcode}
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\label{H_82614DF8}
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\matlabheading{Load data;}
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\begin{par}
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\begin{flushleft}
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Select 1 trial. \textbf{For loop to import all data will be used at a later stage}
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\end{flushleft}
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\end{par}
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\begin{matlabcode}
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[FNaam,FilePad] = uigetfile('*.xls','Load phyphox data...');
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filename =[FilePad FNaam];
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PhyphoxData = xlsread(filename)
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\end{matlabcode}
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\begin{matlaboutput}
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PhyphoxData = 24092x4
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0 0.4018 -8.5041 4.8779
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0.0100 0.3962 -8.4703 4.7944
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0.0199 0.4335 -8.4378 4.7159
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0.0299 0.5209 -8.3889 4.6266
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0.0399 0.6495 -8.3796 4.5437
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0.0498 0.7528 -8.3817 4.4288
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0.0598 0.8820 -8.3622 4.3134
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0.0697 0.9841 -8.4321 4.2221
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0.0797 1.1041 -8.5237 4.1916
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0.0897 1.1959 -8.5418 4.1310
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\end{matlaboutput}
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\begin{matlabcode}
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%load('Phyphoxdata.mat'); % loads accelerometer data, is stored in struct with name AccData
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%load('ExcelInfo.mat');
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%Participants = fields(AccData);
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\end{matlabcode}
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\label{H_04FF0795}
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\matlabheading{Settings;}
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\begin{matlabcode}
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LegLength = 98 % LegLength info not available!
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\end{matlabcode}
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\begin{matlaboutput}
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LegLength = 98
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\end{matlaboutput}
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\begin{matlabcode}
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%LegLengths = excel.data.GeneralInformation(:,5); % leglength info is in 5th column
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LegLengthsM = LegLength/100; % convert to m
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t1 = length(PhyphoxData(:,1)); % Number of Samples
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FS = 100; % sample frequency
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Time_ms = PhyphoxData(:,1);
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accX = PhyphoxData(:,2);
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accY = PhyphoxData(:,3);
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accZ = PhyphoxData(:,4);
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AccData = (PhyphoxData(:,[1 2 3 4])); % matrix with accelerometer data
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Start = 1; % Start time (s) for plot
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End = 60; % End time (s) for plot
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T1 = Start*FS; % Start time calculated from Hz
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T2 = End*FS; % End time calculated from Hz
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c = (Start:(1/FS):End)'; % Time STEPSIZE = 1/100
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\end{matlabcode}
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\label{H_A9CB60AB}
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\matlabheading{Plot the data;}
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\begin{par}
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\begin{flushleft}
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\textbf{(1) first step in notebook}
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\end{flushleft}
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\end{par}
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\begin{par}
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\begin{flushleft}
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1st column is time data (ms)
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\end{flushleft}
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\end{par}
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\begin{par}
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\begin{flushleft}
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2nd column is X, medio-lateral: + left, - right
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\end{flushleft}
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\end{par}
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\begin{par}
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\begin{flushleft}
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3rd column is Y, vertical: + downwards, - upwards
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\end{flushleft}
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\end{par}
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\begin{par}
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\begin{flushleft}
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4th column is Z, anterior- posterior : + forwards, - backwards
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\end{flushleft}
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\end{par}
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\begin{matlabcode}
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AccX = accX(T1:T2); % Signal over timeframe
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AccY = accY(T1:T2); % Signal over timeframe
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AccZ = accZ(T1:T2); % Signal over timeframe
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figure(1);
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plot(c,AccX,c,AccY,c,AccZ); % Plot signal over timeframe
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title('acc signal not filtered - First Minute')
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xlabel('Time (s)');
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ylabel('acceleration (g)');
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legend('X - ML','Y - Vertical','Z - AP')
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\end{matlabcode}
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\begin{center}
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\includegraphics[width=\maxwidth{56.196688409433015em}]{figure_0.eps}
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\end{center}
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\label{H_77261343}
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\matlabheading{\includegraphics[width=\maxwidth{37.431008529854495em}]{image_0}}
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\label{H_4A6AF4FC}
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\vspace{1em}
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\label{H_CA962223}
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\matlabheading{Calculate parameters;}
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\begin{par}
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\begin{flushleft}
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calculate only for the first participant;
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\end{flushleft}
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\end{par}
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\begin{matlabcode}
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inputData = AccData;
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WindowLength = FS*10; % why FS*10?
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ApplyRealignment = true; % reorder data to 1 = V; 2= ML, 3 = AP
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ApplyRemoveSteps = false; % if true - removes first 30 and last 30 steps
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[ResultStruct] = GaitOutcomesTrunkAccFuncIH(inputData,FS,LegLength,WindowLength,ApplyRealignment,ApplyRemoveSteps)
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\end{matlabcode}
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\begin{matlaboutput}
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ResultStruct =
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StrideRegularity_V: 0.3908
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StrideRegularity_ML: 0.4191
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StrideRegularity_AP: 0.1101
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StrideRegularity_All: 0.3529
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RelativeStrideVariability_V: 0.6092
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RelativeStrideVariability_ML: 0.5809
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RelativeStrideVariability_AP: 0.8899
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RelativeStrideVariability_All: 0.6471
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StrideTimeSamples: 132
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StrideTimeSeconds: 1.3200
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GaitSymm_V: 16.8830
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GaitSymm_AP: NaN
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GaitSymmIndex: 2.8065
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StepLengthMean: 11.5894
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Distance: 1.8825e+03
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WalkingSpeedMean: 7.8279
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StrideTimeVariability: 0.1931
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StrideSpeedVariability: 1.1210
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StrideLengthVariability: 0.7532
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StrideTimeVariabilityOmitOutlier: 14.7357
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StrideSpeedVariabilityOmitOutlier: 0.8713
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StrideLengthVariabilityOmitOutlier: 0.4511
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IndexHarmonicity_V: 0.6094
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IndexHarmonicity_ML: 0.8041
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IndexHarmonicity_AP: 0.9122
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IndexHarmonicity_All: 0.6742
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HarmonicRatio_V: 2.4928
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HarmonicRatio_ML: 2.8449
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HarmonicRatio_AP: 1.6364
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HarmonicRatioP_V: 9.1114
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HarmonicRatioP_ML: 14.1449
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HarmonicRatioP_AP: 5.6995
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FrequencyVariability_V: 0.5234
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FrequencyVariability_ML: 0.6435
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FrequencyVariability_AP: 0.6281
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StrideFrequency: 0.7367
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LyapunovWolf_V: 1.3653
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LyapunovWolf_ML: 1.1477
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LyapunovWolf_AP: 1.4231
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LyapunovRosen_V: 1.0151
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LyapunovRosen_ML: 0.7871
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LyapunovRosen_AP: 0.9792
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SampleEntropy_V: 0.1999
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SampleEntropy_ML: 0.2537
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SampleEntropy_AP: 0.2710
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LyapunovPerStrideWolf_V: 1.8534
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LyapunovPerStrideWolf_ML: 1.5579
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LyapunovPerStrideWolf_AP: 1.9318
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LyapunovPerStrideRosen_V: 1.3780
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LyapunovPerStrideRosen_ML: 1.0685
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LyapunovPerStrideRosen_AP: 1.3292
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\end{matlaboutput}
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\begin{par}
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\begin{flushleft}
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\textbf{output:}
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\end{flushleft}
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\end{par}
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\begin{par}
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\begin{flushleft}
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- \underline{NaN GaitSymm\_V: }
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\end{flushleft}
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\end{par}
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\begin{itemize}
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\setlength{\itemsep}{-1ex}
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\item{\begin{flushleft} Gait Synmmetry is only informative in AP/V direction: See Tura A, Raggi M, Rocchi L, Cutti AG, Chiari L: Gait symmetry and regularity in transfemoral amputees assessed by trunk accelerations. J Neuroeng Rehabil 2010, 7:4 \end{flushleft}}
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\end{itemize}
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\begin{par}
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\begin{flushleft}
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- SampEn has two advantages over ApEn: data length independence and a relatively trouble-free implementation.
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\end{flushleft}
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\end{par}
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\begin{par}
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\begin{flushleft}
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- Some Settings ResulStruct
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\end{flushleft}
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\end{par}
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\begin{par}
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\begin{flushleft}
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\textbf{IgnoreMinMaxStrides = 0.10; } \% Number or percentage of highest\&lowest values ignored for improved variability estimation
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\end{flushleft}
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\end{par}
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\begin{par}
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\begin{flushleft}
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\textbf{N\_Harm = 12; } \% Number of harmonics used for harmonic ratio, index of harmonicity and phase fluctuation
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\end{flushleft}
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\end{par}
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\begin{par}
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\begin{flushleft}
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\textbf{Lyap\_m = 7; } \% Embedding dimension (used in Lyapunov estimations)
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\end{flushleft}
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\end{par}
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\begin{par}
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\begin{flushleft}
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\textbf{Lyap\_FitWinLen} = round(60/100*FS); \% Fitting window length (used in Lyapunov estimations Rosenstein's method)
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\end{flushleft}
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\end{par}
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\begin{par}
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\begin{flushleft}
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\textbf{Sen\_m = 5;} \% Dimension, the length of the subseries to be matched (used in sample entropy estimation)
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\end{flushleft}
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\end{par}
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\begin{par}
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\begin{flushleft}
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\textbf{Sen\_r = 0.3;} \% Tolerance, the maximum distance between two samples to qualify as match, relative to std of DataIn (used in sample entropy estimation)
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\end{flushleft}
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\end{par}
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\label{H_2EA43FAC}
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\matlabheadingtwo{Index of harmonicity (Lamoth et al. 2002)}
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\begin{par}
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\begin{flushleft}
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by means of a discrete Fourier transform (DFT). The peak power at the first six harmonics was estimated and, subsequently, the index of harmonicity was defined as ; \textbf{FORMULA}
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\end{flushleft}
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\end{par}
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\begin{par}
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\begin{flushleft}
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where P0 is the power spectral density of the fundamental frequency (first harmonic) and \$ Pi the cumulative sum of power spectral density of the fundamental frequency and the first five superharmonics. A power ratio of 1 indicates that the rotation of the pelvis or the thorax is perfectly harmonic. In view of possible drift, which could lead to missing or widening peaks, the power spectral density of each peak was calculated within the frequency bands of +0.1 and −0.1 Hz of the peak frequency value. All power spectral densities were normalized by dividing the power by the sum of the total power spectrum, which equals the variance.
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\end{flushleft}
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\end{par}
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\label{H_3E396779}
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\matlabheadingtwo{Lyapunov exponents (Wolfs vs. Rosenstein)}
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\label{H_B1B85E8D}
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\begin{par}
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\begin{flushleft}
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The W-algorithm is advocated for use when examining local dynamic stability with small gait data sets.
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\end{flushleft}
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\end{par}
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\label{H_9FD2A70A}
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\matlabheading{Visualize step detection;}
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\begin{par}
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\begin{flushleft}
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function [ResultStruct] = GaitVariabilityAnalysisIH\_WithoutTurns(inputData,FS,LegLength,ApplyRealignment,ApplyRemoveSteps);
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\end{flushleft}
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\end{par}
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\begin{par}
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\begin{flushleft}
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\textbf{script for analysing straight parts}
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\end{flushleft}
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\end{par}
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\begin{par}
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\begin{flushleft}
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(1) Realign Data
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\end{flushleft}
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\end{par}
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\begin{matlabcode}
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%% Realign data
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data = inputData(:, [3,2,4]); % reorder data to 1 = V; 2= ML, 3 = AP
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%Realign sensor data to VT-ML-AP frame
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if ApplyRealignment % apply relignment as described in Rispens S, Pijnappels M, van Schooten K, Beek PJ, Daffertshofer A, van Die?n JH (2014).
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% Consistency of gait characteristics as determined from acceleration data collected at different trunk locations. Gait Posture 2014;40(1):187-92.
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[RealignedAcc, ~] = RealignSensorSignalHRAmp(data, FS);
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dataAcc = RealignedAcc;
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end
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\end{matlabcode}
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\begin{par}
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\begin{flushleft}
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(2) Filter Data
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\end{flushleft}
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\end{par}
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\begin{matlabcode}
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%% Filter data strongly & Determine location of steps
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% Filter data
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[B,A] = butter(2,3/(FS/2),'low'); % Filters data very strongly which is needed to determine turns correctly
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dataStepDetection = filtfilt(B,A,dataAcc);
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\end{matlabcode}
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\begin{par}
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\begin{flushleft}
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(3) Determine Location of steps
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\end{flushleft}
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\end{par}
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\begin{matlabcode}
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% Determine steps;
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%%%%%%% HIER MISSCHIEN ALTERNATIEF VOOR VAN RISPENS %%%%%%%%%%%%%
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% Explanation of method: https://nl.mathworks.com/help/supportpkg/beagleboneblue/ref/counting-steps-using-beagleboneblue-hardware-example.html
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% From website: To convert the XYZ acceleration vectors at each point in time into scalar values,
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% calculate the magnitude of each vector. This way, you can detect large changes in overall acceleration,
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% such as steps taken while walking, regardless of device orientation.
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magfilt = sqrt(sum((dataStepDetection(:,1).^2) + (dataStepDetection(:,2).^2) + (dataStepDetection(:,3).^2), 2));
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magNoGfilt = magfilt - mean(magfilt);
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minPeakHeight2 = std(magNoGfilt);
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[pks, locs] = findpeaks(magNoGfilt, 'MINPEAKHEIGHT', minPeakHeight2); % for step detection
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numStepsOption2_filt = numel(pks); % counts number of steps;
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\end{matlabcode}
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\begin{par}
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\begin{flushleft}
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(4) Determine location of turns
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\end{flushleft}
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\end{par}
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\begin{matlabcode}
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%% Determine locations of turns;
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diffLocs = diff(locs); % calculates difference in step location
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avg_diffLocs = mean(diffLocs); % average distance between steps
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std_diffLocs = std(diffLocs); % standard deviation of distance between steps
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figure(2);
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findpeaks(diffLocs, 'MINPEAKHEIGHT', avg_diffLocs, 'MINPEAKDISTANCE',5); % these values have been chosen based on visual inspection of the signal
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line([1 length(diffLocs)],[avg_diffLocs avg_diffLocs])
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\end{matlabcode}
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\begin{center}
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\includegraphics[width=\maxwidth{56.196688409433015em}]{figure_1.eps}
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\end{center}
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\begin{matlabcode}
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[pks_diffLocs, locs_diffLocs] = findpeaks(diffLocs, 'MINPEAKHEIGHT', avg_diffLocs,'MINPEAKDISTANCE',5);
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locsTurns = [locs(locs_diffLocs), locs(locs_diffLocs+1)];
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\end{matlabcode}
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\begin{par}
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\begin{flushleft}
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(5) Visualize turns
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\end{flushleft}
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\end{par}
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\begin{matlabcode}
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%% Visualizing turns
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% Duplying signal + visualing
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% to make second signal with the locations of the turns filled with NaN, so
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% that both signals can be plotted above each other in a different colour
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magNoGfilt_copy = magNoGfilt;
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for k = 1: size(locsTurns,1);
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magNoGfilt_copy(locsTurns(k,1):locsTurns(k,2)) = NaN;
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end
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% visualising signal;
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figure;
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subplot(2,1,1)
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hold on;
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plot(magNoGfilt,'b')
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plot(magNoGfilt_copy, 'r');
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title('Inside Straight: Filtered data with turns highlighted in blue')
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hold off;
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\end{matlabcode}
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\begin{center}
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\includegraphics[width=\maxwidth{56.196688409433015em}]{figure_2.eps}
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\end{center}
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\begin{matlabcode}
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\end{matlabcode}
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\begin{par}
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\begin{flushleft}
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(6) CALCULATIONS
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\end{flushleft}
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\end{par}
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\begin{matlabcode}
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%% Calculation
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% VRAAG LAURENS zie blauwe blaadje
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startPos = 1;
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for i = 1: size(locsTurns,1);
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endPos = locsTurns(i,1)-1;
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inputData = dataAcc(startPos:endPos,:);
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WindowLen = size(inputData,1);
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ApplyRealignment = false;
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[ResultStruct] = GaitOutcomesTrunkAccFuncIH(inputData,FS,LegLength,WindowLen,ApplyRealignment,ApplyRemoveSteps); % Naam van deze moet nog aangepast.
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if i ==1 % only the firs time
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||
Parameters = fieldnames(ResultStruct);
|
||
NrParameters = length(Parameters);
|
||
end
|
||
|
||
for j = 1:NrParameters % only works if for every bin we get the same outcomes (which is the case in this script)
|
||
DataStraight.([char(Parameters(j))])(i) = ResultStruct.([char(Parameters(j))]);
|
||
end
|
||
startPos = locsTurns(i,2)+1;
|
||
|
||
end
|
||
|
||
clear ResultStruct;
|
||
|
||
% Calculate mean over the bins without turns to get 1 outcome value per parameter for inside
|
||
% straight;
|
||
|
||
for j = 1:NrParameters;
|
||
ResultStruct.([char(Parameters(j))]) = nanmean(DataStraight.([char(Parameters(j))]))
|
||
end
|
||
\end{matlabcode}
|
||
\begin{matlaboutput}
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
StrideFrequency: 0.6364
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
StrideFrequency: 0.6364
|
||
LyapunovWolf_V: 1.4401
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
StrideFrequency: 0.6364
|
||
LyapunovWolf_V: 1.4401
|
||
LyapunovWolf_ML: 1.2904
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
StrideFrequency: 0.6364
|
||
LyapunovWolf_V: 1.4401
|
||
LyapunovWolf_ML: 1.2904
|
||
LyapunovWolf_AP: 1.5238
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
StrideFrequency: 0.6364
|
||
LyapunovWolf_V: 1.4401
|
||
LyapunovWolf_ML: 1.2904
|
||
LyapunovWolf_AP: 1.5238
|
||
LyapunovRosen_V: 0.9931
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
StrideFrequency: 0.6364
|
||
LyapunovWolf_V: 1.4401
|
||
LyapunovWolf_ML: 1.2904
|
||
LyapunovWolf_AP: 1.5238
|
||
LyapunovRosen_V: 0.9931
|
||
LyapunovRosen_ML: 0.8064
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
StrideFrequency: 0.6364
|
||
LyapunovWolf_V: 1.4401
|
||
LyapunovWolf_ML: 1.2904
|
||
LyapunovWolf_AP: 1.5238
|
||
LyapunovRosen_V: 0.9931
|
||
LyapunovRosen_ML: 0.8064
|
||
LyapunovRosen_AP: 1.0984
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
StrideFrequency: 0.6364
|
||
LyapunovWolf_V: 1.4401
|
||
LyapunovWolf_ML: 1.2904
|
||
LyapunovWolf_AP: 1.5238
|
||
LyapunovRosen_V: 0.9931
|
||
LyapunovRosen_ML: 0.8064
|
||
LyapunovRosen_AP: 1.0984
|
||
SampleEntropy_V: 0.2014
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
StrideFrequency: 0.6364
|
||
LyapunovWolf_V: 1.4401
|
||
LyapunovWolf_ML: 1.2904
|
||
LyapunovWolf_AP: 1.5238
|
||
LyapunovRosen_V: 0.9931
|
||
LyapunovRosen_ML: 0.8064
|
||
LyapunovRosen_AP: 1.0984
|
||
SampleEntropy_V: 0.2014
|
||
SampleEntropy_ML: 0.2358
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
StrideFrequency: 0.6364
|
||
LyapunovWolf_V: 1.4401
|
||
LyapunovWolf_ML: 1.2904
|
||
LyapunovWolf_AP: 1.5238
|
||
LyapunovRosen_V: 0.9931
|
||
LyapunovRosen_ML: 0.8064
|
||
LyapunovRosen_AP: 1.0984
|
||
SampleEntropy_V: 0.2014
|
||
SampleEntropy_ML: 0.2358
|
||
SampleEntropy_AP: 0.2608
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
StrideFrequency: 0.6364
|
||
LyapunovWolf_V: 1.4401
|
||
LyapunovWolf_ML: 1.2904
|
||
LyapunovWolf_AP: 1.5238
|
||
LyapunovRosen_V: 0.9931
|
||
LyapunovRosen_ML: 0.8064
|
||
LyapunovRosen_AP: 1.0984
|
||
SampleEntropy_V: 0.2014
|
||
SampleEntropy_ML: 0.2358
|
||
SampleEntropy_AP: 0.2608
|
||
LyapunovPerStrideWolf_V: 2.3378
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
StrideFrequency: 0.6364
|
||
LyapunovWolf_V: 1.4401
|
||
LyapunovWolf_ML: 1.2904
|
||
LyapunovWolf_AP: 1.5238
|
||
LyapunovRosen_V: 0.9931
|
||
LyapunovRosen_ML: 0.8064
|
||
LyapunovRosen_AP: 1.0984
|
||
SampleEntropy_V: 0.2014
|
||
SampleEntropy_ML: 0.2358
|
||
SampleEntropy_AP: 0.2608
|
||
LyapunovPerStrideWolf_V: 2.3378
|
||
LyapunovPerStrideWolf_ML: 2.0830
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
StrideFrequency: 0.6364
|
||
LyapunovWolf_V: 1.4401
|
||
LyapunovWolf_ML: 1.2904
|
||
LyapunovWolf_AP: 1.5238
|
||
LyapunovRosen_V: 0.9931
|
||
LyapunovRosen_ML: 0.8064
|
||
LyapunovRosen_AP: 1.0984
|
||
SampleEntropy_V: 0.2014
|
||
SampleEntropy_ML: 0.2358
|
||
SampleEntropy_AP: 0.2608
|
||
LyapunovPerStrideWolf_V: 2.3378
|
||
LyapunovPerStrideWolf_ML: 2.0830
|
||
LyapunovPerStrideWolf_AP: 2.4095
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
StrideFrequency: 0.6364
|
||
LyapunovWolf_V: 1.4401
|
||
LyapunovWolf_ML: 1.2904
|
||
LyapunovWolf_AP: 1.5238
|
||
LyapunovRosen_V: 0.9931
|
||
LyapunovRosen_ML: 0.8064
|
||
LyapunovRosen_AP: 1.0984
|
||
SampleEntropy_V: 0.2014
|
||
SampleEntropy_ML: 0.2358
|
||
SampleEntropy_AP: 0.2608
|
||
LyapunovPerStrideWolf_V: 2.3378
|
||
LyapunovPerStrideWolf_ML: 2.0830
|
||
LyapunovPerStrideWolf_AP: 2.4095
|
||
LyapunovPerStrideRosen_V: 1.5914
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
StrideFrequency: 0.6364
|
||
LyapunovWolf_V: 1.4401
|
||
LyapunovWolf_ML: 1.2904
|
||
LyapunovWolf_AP: 1.5238
|
||
LyapunovRosen_V: 0.9931
|
||
LyapunovRosen_ML: 0.8064
|
||
LyapunovRosen_AP: 1.0984
|
||
SampleEntropy_V: 0.2014
|
||
SampleEntropy_ML: 0.2358
|
||
SampleEntropy_AP: 0.2608
|
||
LyapunovPerStrideWolf_V: 2.3378
|
||
LyapunovPerStrideWolf_ML: 2.0830
|
||
LyapunovPerStrideWolf_AP: 2.4095
|
||
LyapunovPerStrideRosen_V: 1.5914
|
||
LyapunovPerStrideRosen_ML: 1.2964
|
||
|
||
ResultStruct =
|
||
StrideRegularity_V: 0.9005
|
||
StrideRegularity_ML: 0.7110
|
||
StrideRegularity_AP: 0.6643
|
||
StrideRegularity_All: 0.7765
|
||
RelativeStrideVariability_V: 0.0995
|
||
RelativeStrideVariability_ML: 0.2890
|
||
RelativeStrideVariability_AP: 0.3357
|
||
RelativeStrideVariability_All: 0.2235
|
||
StrideTimeSamples: 217.5556
|
||
StrideTimeSeconds: 2.1756
|
||
GaitSymm_V: 5.7952
|
||
GaitSymm_AP: 7.0128
|
||
GaitSymmIndex: 2.3916
|
||
StepLengthMean: 11.9893
|
||
Distance: 83.0819
|
||
WalkingSpeedMean: 6.1785
|
||
StrideTimeVariability: 0.0200
|
||
StrideSpeedVariability: 0.1990
|
||
StrideLengthVariability: 0.5502
|
||
StrideTimeVariabilityOmitOutlier: 6.0071
|
||
StrideSpeedVariabilityOmitOutlier: 0.2542
|
||
StrideLengthVariabilityOmitOutlier: 0.3722
|
||
IndexHarmonicity_V: 0.4981
|
||
IndexHarmonicity_ML: 0.7579
|
||
IndexHarmonicity_AP: 0.8968
|
||
IndexHarmonicity_All: 0.6349
|
||
HarmonicRatio_V: 3.6118
|
||
HarmonicRatio_ML: 3.4148
|
||
HarmonicRatio_AP: 2.5141
|
||
HarmonicRatioP_V: 21.1829
|
||
HarmonicRatioP_ML: 19.5829
|
||
HarmonicRatioP_AP: 12.5052
|
||
FrequencyVariability_V: 0.2160
|
||
FrequencyVariability_ML: 0.4381
|
||
FrequencyVariability_AP: 0.1981
|
||
StrideFrequency: 0.6364
|
||
LyapunovWolf_V: 1.4401
|
||
LyapunovWolf_ML: 1.2904
|
||
LyapunovWolf_AP: 1.5238
|
||
LyapunovRosen_V: 0.9931
|
||
LyapunovRosen_ML: 0.8064
|
||
LyapunovRosen_AP: 1.0984
|
||
SampleEntropy_V: 0.2014
|
||
SampleEntropy_ML: 0.2358
|
||
SampleEntropy_AP: 0.2608
|
||
LyapunovPerStrideWolf_V: 2.3378
|
||
LyapunovPerStrideWolf_ML: 2.0830
|
||
LyapunovPerStrideWolf_AP: 2.4095
|
||
LyapunovPerStrideRosen_V: 1.5914
|
||
LyapunovPerStrideRosen_ML: 1.2964
|
||
LyapunovPerStrideRosen_AP: 1.7481
|
||
|
||
\end{matlaboutput}
|
||
|
||
\label{H_4847D0D3}
|
||
\matlabheading{AggregateFunction;}
|
||
|
||
\end{document}
|