Gait Variability Analysis CLBP
% Gait Variability Analysis
% Script created for MAP 2020-2021
% adapted from Claudine Lamoth and Iris Hagoort
% Input: needs mat file which contains all raw accelerometer data
% Input: needs excel file containing the participant information including
Clear and close;
Load data;
Select 1 trial. For loop to import all data will be used at a later stage
[FNaam,FilePad] = uigetfile('*.xls','Load phyphox data...');
filename =[FilePad FNaam];
PhyphoxData = xlsread(filename)
0 0.4018 -8.5041 4.8779
0.0100 0.3962 -8.4703 4.7944
0.0199 0.4335 -8.4378 4.7159
0.0299 0.5209 -8.3889 4.6266
0.0399 0.6495 -8.3796 4.5437
0.0498 0.7528 -8.3817 4.4288
0.0598 0.8820 -8.3622 4.3134
0.0697 0.9841 -8.4321 4.2221
0.0797 1.1041 -8.5237 4.1916
0.0897 1.1959 -8.5418 4.1310
%load('Phyphoxdata.mat'); % loads accelerometer data, is stored in struct with name AccData
%Participants = fields(AccData);
Settings;
LegLength = 98 % LegLength info not available!
%LegLengths = excel.data.GeneralInformation(:,5); % leglength info is in 5th column
LegLengthsM = LegLength/100; % convert to m
t1 = length(PhyphoxData(:,1)); % Number of Samples
FS = 100; % sample frequency
Time_ms = PhyphoxData(:,1);
AccData = (PhyphoxData(:,[1 2 3 4])); % matrix with accelerometer data
Start = 1; % Start time (s) for plot
End = 60; % End time (s) for plot
T1 = Start*FS; % Start time calculated from Hz
T2 = End*FS; % End time calculated from Hz
c = (Start:(1/FS):End)'; % Time STEPSIZE = 1/100
Plot the data;
(1) first step in notebook
1st column is time data (ms)
2nd column is X, medio-lateral: + left, - right
3rd column is Y, vertical: + downwards, - upwards
4th column is Z, anterior- posterior : + forwards, - backwards
AccX = accX(T1:T2); % Signal over timeframe
AccY = accY(T1:T2); % Signal over timeframe
AccZ = accZ(T1:T2); % Signal over timeframe
plot(c,AccX,c,AccY,c,AccZ); % Plot signal over timeframe
title('acc signal not filtered - First Minute')
ylabel('acceleration (g)');
legend('X - ML','Y - Vertical','Z - AP')
Calculate parameters;
calculate only for the first participant;
WindowLength = FS*10; % why FS*10?
ApplyRealignment = true; % reorder data to 1 = V; 2= ML, 3 = AP
ApplyRemoveSteps = false; % if true - removes first 30 and last 30 steps
[ResultStruct] = GaitOutcomesTrunkAccFuncIH(inputData,FS,LegLength,WindowLength,ApplyRealignment,ApplyRemoveSteps)
output:
- NaN GaitSymm_V:
- 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
- SampEn has two advantages over ApEn: data length independence and a relatively trouble-free implementation.
- Some Settings ResulStruct
IgnoreMinMaxStrides = 0.10; % Number or percentage of highest&lowest values ignored for improved variability estimation
N_Harm = 12; % Number of harmonics used for harmonic ratio, index of harmonicity and phase fluctuation
Lyap_m = 7; % Embedding dimension (used in Lyapunov estimations)
Lyap_FitWinLen = round(60/100*FS); % Fitting window length (used in Lyapunov estimations Rosenstein's method)
Sen_m = 5; % Dimension, the length of the subseries to be matched (used in sample entropy estimation)
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)
Index of harmonicity (Lamoth et al. 2002)
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 ; FORMULA
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.
Lyapunov exponents (Wolfs vs. Rosenstein)
The W-algorithm is advocated for use when examining local dynamic stability with small gait data sets.
Visualize step detection;
function [ResultStruct] = GaitVariabilityAnalysisIH_WithoutTurns(inputData,FS,LegLength,ApplyRealignment,ApplyRemoveSteps);
script for analysing straight parts
(1) Realign Data
data = inputData(:, [3,2,4]); % reorder data to 1 = V; 2= ML, 3 = AP
%Realign sensor data to VT-ML-AP frame
if ApplyRealignment % apply relignment as described in Rispens S, Pijnappels M, van Schooten K, Beek PJ, Daffertshofer A, van Die?n JH (2014).
% Consistency of gait characteristics as determined from acceleration data collected at different trunk locations. Gait Posture 2014;40(1):187-92.
[RealignedAcc, ~] = RealignSensorSignalHRAmp(data, FS);
(2) Filter Data
%% Filter data strongly & Determine location of steps
[B,A] = butter(2,3/(FS/2),'low'); % Filters data very strongly which is needed to determine turns correctly
dataStepDetection = filtfilt(B,A,dataAcc);
(3) Determine Location of steps
%%%%%%% HIER MISSCHIEN ALTERNATIEF VOOR VAN RISPENS %%%%%%%%%%%%%
% Explanation of method: https://nl.mathworks.com/help/supportpkg/beagleboneblue/ref/counting-steps-using-beagleboneblue-hardware-example.html
% From website: To convert the XYZ acceleration vectors at each point in time into scalar values,
% calculate the magnitude of each vector. This way, you can detect large changes in overall acceleration,
% such as steps taken while walking, regardless of device orientation.
magfilt = sqrt(sum((dataStepDetection(:,1).^2) + (dataStepDetection(:,2).^2) + (dataStepDetection(:,3).^2), 2));
magNoGfilt = magfilt - mean(magfilt);
minPeakHeight2 = std(magNoGfilt);
[pks, locs] = findpeaks(magNoGfilt, 'MINPEAKHEIGHT', minPeakHeight2); % for step detection
numStepsOption2_filt = numel(pks); % counts number of steps;
(4) Determine location of turns
%% Determine locations of turns;
diffLocs = diff(locs); % calculates difference in step location
avg_diffLocs = mean(diffLocs); % average distance between steps
std_diffLocs = std(diffLocs); % standard deviation of distance between steps
findpeaks(diffLocs, 'MINPEAKHEIGHT', avg_diffLocs, 'MINPEAKDISTANCE',5); % these values have been chosen based on visual inspection of the signal
line([1 length(diffLocs)],[avg_diffLocs avg_diffLocs])
[pks_diffLocs, locs_diffLocs] = findpeaks(diffLocs, 'MINPEAKHEIGHT', avg_diffLocs,'MINPEAKDISTANCE',5);
locsTurns = [locs(locs_diffLocs), locs(locs_diffLocs+1)];
(5) Visualize turns
% Duplying signal + visualing
% to make second signal with the locations of the turns filled with NaN, so
% that both signals can be plotted above each other in a different colour
magNoGfilt_copy = magNoGfilt;
for k = 1: size(locsTurns,1);
magNoGfilt_copy(locsTurns(k,1):locsTurns(k,2)) = NaN;
plot(magNoGfilt_copy, 'r');
title('Inside Straight: Filtered data with turns highlighted in blue')
(6) CALCULATIONS
% VRAAG LAURENS zie blauwe blaadje
for i = 1: size(locsTurns,1);
endPos = locsTurns(i,1)-1;
inputData = dataAcc(startPos:endPos,:);
WindowLen = size(inputData,1);
ApplyRealignment = false;
[ResultStruct] = GaitOutcomesTrunkAccFuncIH(inputData,FS,LegLength,WindowLen,ApplyRealignment,ApplyRemoveSteps); % Naam van deze moet nog aangepast.
if i ==1 % only the firs time
Parameters = fieldnames(ResultStruct);
NrParameters = length(Parameters);
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))]);
startPos = locsTurns(i,2)+1;
% Calculate mean over the bins without turns to get 1 outcome value per parameter for inside
ResultStruct.([char(Parameters(j))]) = nanmean(DataStraight.([char(Parameters(j))]))
end
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
AggregateFunction;