MAP_Gait_Dynamics/GaitVariabilityAnalysisLD.html

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</span></a><a href = "#H_82614DF8"><span>Load data;
</span></a><a href = "#H_04FF0795"><span>Settings;
</span></a><a href = "#H_A9CB60AB"><span>Plot the data;
</span></a><a href = "#H_CA962223"><span>Calculate parameters;
</span></a><span> </span><a href = "#H_2EA43FAC"><span>Index of harmonicity (Lamoth et al. 2002)
</span></a><span> </span><a href = "#H_3E396779"><span>Lyapunov exponents (Wolfs vs. Rosenstein)
</span></a><a href = "#H_9FD2A70A"><span>Visualize step detection;</span></a></div></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S4'><span style="white-space: pre;"><span style="color: rgb(2, 128, 9);">% Gait Variability Analysis </span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span style="color: rgb(2, 128, 9);">% Script created for MAP 2020-2021</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span style="color: rgb(2, 128, 9);">% adapted from Claudine Lamoth and Iris Hagoort</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span style="color: rgb(2, 128, 9);">% version1 October 2020</span></span></div></div><div class="inlineWrapper"><div class = 'S5'></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span style="color: rgb(2, 128, 9);">% Input: needs mat file which contains all raw accelerometer data</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span style="color: rgb(2, 128, 9);">% Input: needs excel file containing the participant information including</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span style="color: rgb(2, 128, 9);">% leg length.</span></span></div></div><div class="inlineWrapper"><div class = 'S5'></div></div><div class="inlineWrapper"><div class = 'S6'></div></div></div><h2 class = 'S7' id = 'H_7D86BAF1' ><span>Clear and close;</span></h2><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S4'><span style="white-space: pre;"><span>clear;</span></span></div></div><div class="inlineWrapper"><div class = 'S6'><span style="white-space: pre;"><span>close </span><span style="color: rgb(170, 4, 249);">all</span><span>;</span></span></div></div></div><h2 class = 'S7' id = 'H_82614DF8' ><span>Load data;</span></h2><div class = 'S8'><span>Select 1 trial. </span><span style=' font-weight: bold;'>For loop to import all data will be used at a later stage</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S4'><span style="white-space: pre;"><span>[FNaam,FilePad] = uigetfile(</span><span style="color: rgb(170, 4, 249);">'*.xls'</span><span>,</span><span style="color: rgb(170, 4, 249);">'Load phyphox data...'</span><span>);</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span>filename =[FilePad FNaam];</span></span></div></div><div class="inlineWrapper outputs"><div class = 'S9'><span style="white-space: pre;"><span>PhyphoxData = xlsread(filename)</span></span></div><div class = 'S10'><div class="inlineElement eoOutputWrapper embeddedOutputsVariableMatrixElement" uid="30B7F20C" data-testid="output_0" data-width="859" style="width: 889px; white-space: normal; font-style: normal; color: rgb(64, 64, 64); font-size: 12px;"><div class="matrixElement veSpecifier" style="white-space: normal; font-style: normal; color: rgb(64, 64, 64); font-size: 12px;"><div class="veVariableName variableNameElement double" style="width: 859px; white-space: normal; font-style: normal; color: rgb(64, 64, 64); font-size: 12px;"><div class="headerElementClickToInteract" style="white-space: normal; font-style: normal; color: rgb(64, 64, 64); font-size: 12px;"><span style="white-space: normal; font-style: normal; color: rgb(64, 64, 64); font-size: 12px;">PhyphoxData = </span><span class="veVariableValueSummary veMetaSummary" style="white-space: normal; font-style: normal; color: rgb(179, 179, 179); font-size: 12px;">24092×4</span></div></div><div class="valueContainer" data-layout="{&quot;columnWidth&quot;:66,&quot;totalColumns&quot;:4,&quot;totalRows&quot;:24092,&quot;charsPerColumn&quot;:10}" style="white-space: nowrap; font-style: normal; color: rgb(64, 64, 64); font-size: 12px;"><div class="variableValue" style="width: 266px; white-space: pre; font-style: normal; color: rgb(64, 64, 64); font-si
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
</div><div class="horizontalEllipsis hide" style="white-space: nowrap; font-style: normal; color: rgb(64, 64, 64); font-size: 12px;"></div><div class="verticalEllipsis" style="white-space: nowrap; font-style: normal; color: rgb(64, 64, 64); font-size: 12px;"></div></div></div></div></div></div><div class="inlineWrapper"><div class = 'S11'></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span style="color: rgb(2, 128, 9);">%load('Phyphoxdata.mat'); % loads accelerometer data, is stored in struct with name AccData</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span style="color: rgb(2, 128, 9);">%load('ExcelInfo.mat');</span></span></div></div><div class="inlineWrapper"><div class = 'S6'><span style="white-space: pre;"><span style="color: rgb(2, 128, 9);">%Participants = fields(AccData);</span></span></div></div></div><h2 class = 'S7' id = 'H_04FF0795' ><span>Settings;</span></h2><div class="CodeBlock"><div class="inlineWrapper outputs"><div class = 'S12'><span style="white-space: pre;"><span>LegLength = </span></span><span>98</span><span style="white-space: pre;"><span> </span><span style="color: rgb(2, 128, 9);">% LegLength info not available!</span></span></div><div class = 'S10'><div class='variableElement' style='font-family: Menlo, Monaco, Consolas, "Courier New", monospace; font-size: 12px; '>LegLength = 98</div></div></div><div class="inlineWrapper"><div class = 'S11'><span style="white-space: pre;"><span style="color: rgb(2, 128, 9);">%LegLengths = excel.data.GeneralInformation(:,5); % leglength info is in 5th column</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span>LegLengthsM = LegLength/100; </span><span style="color: rgb(2, 128, 9);">% convert to m</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span>t1 = length(PhyphoxData(:,1)); </span><span style="color: rgb(2, 128, 9);">% Number of Samples</span></span></div></div><div class="inlineWrapper"><div class = 'S5'></div></div><div class="inlineWrapper"><div class = 'S5'></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span>FS = 100; </span><span style="color: rgb(2, 128, 9);">% sample frequency</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span>Time_ms = PhyphoxData(:,1);</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span>accX = PhyphoxData(:,2);</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span>accY = PhyphoxData(:,3);</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span>accZ = PhyphoxData(:,4);</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span>AccData = (PhyphoxData(:,[1 2 3 4])); </span><span style="color: rgb(2, 128, 9);">% matrix with accelerometer data</span></span></div></div><div class="inlineWrapper"><div class = 'S5'></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span>Start = 1; </span><span style="color: rgb(2, 128, 9);">% Start time (s) for plot</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span>End = 60; </span><span style="color: rgb(2, 128, 9);">% End time (s) for plot</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span>T1 = Start*FS; </span><span style="color: rgb(2, 128, 9);">% Start time calculated from Hz</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span>T2 = End*FS; </span><span style="color: rgb(2, 128, 9);">% End time calculated from Hz</span></span></div></div><di
StrideRegularity_ML: 0.4191
StrideRegularity_AP: 0.1101
StrideRegularity_All: 0.3529
RelativeStrideVariability_V: 0.6092
RelativeStrideVariability_ML: 0.5809
RelativeStrideVariability_AP: 0.8899
RelativeStrideVariability_All: 0.6471
StrideTimeSamples: 132
StrideTimeSeconds: 1.3200
GaitSymm_V: 16.8830
GaitSymm_AP: NaN
GaitSymmIndex: 2.8065
StepLengthMean: 11.5894
Distance: 1.8825e+03
WalkingSpeedMean: 7.8279
StrideTimeVariability: 0.1931
StrideSpeedVariability: 1.1210
StrideLengthVariability: 0.7532
StrideTimeVariabilityOmitOutlier: 14.7357
StrideSpeedVariabilityOmitOutlier: 0.8713
StrideLengthVariabilityOmitOutlier: 0.4511
IndexHarmonicity_V: 0.6094
IndexHarmonicity_ML: 0.8041
IndexHarmonicity_AP: 0.9122
IndexHarmonicity_All: 0.6742
HarmonicRatio_V: 2.4928
HarmonicRatio_ML: 2.8449
HarmonicRatio_AP: 1.6364
HarmonicRatioP_V: 9.1114
HarmonicRatioP_ML: 14.1449
HarmonicRatioP_AP: 5.6995
FrequencyVariability_V: 0.5234
FrequencyVariability_ML: 0.6435
FrequencyVariability_AP: 0.6281
StrideFrequency: 0.7367
LyapunovWolf_V: 1.3653
LyapunovWolf_ML: 1.1477
LyapunovWolf_AP: 1.4231
LyapunovRosen_V: 1.0151
LyapunovRosen_ML: 0.7871
LyapunovRosen_AP: 0.9792
SampleEntropy_V: 0.1999
SampleEntropy_ML: 0.2537
SampleEntropy_AP: 0.2710
LyapunovPerStrideWolf_V: 1.8534
LyapunovPerStrideWolf_ML: 1.5579
LyapunovPerStrideWolf_AP: 1.9318
LyapunovPerStrideRosen_V: 1.3780
LyapunovPerStrideRosen_ML: 1.0685
LyapunovPerStrideRosen_AP: 1.3292
</div></div></div></div></div></div><div class = 'S14'><span style=' font-weight: bold;'>output:</span></div><div class = 'S8'><span>- </span><span style=' text-decoration: underline;'>NaN GaitSymm_V: </span></div><ul class = 'S15'><li class = 'S16'><span>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</span></li></ul><div class = 'S8'><span>- SampEn has two advantages over ApEn: data length independence and a relatively trouble-free implementation.</span></div><div class = 'S8'><span>- Some Settings ResulStruct</span></div><div class = 'S8'><span style=' font-weight: bold;'>IgnoreMinMaxStrides = 0.10; </span><span> % Number or percentage of highest&amp;lowest values ignored for improved variability estimation</span></div><div class = 'S8'><span style=' font-weight: bold;'>N_Harm = 12; </span><span> % Number of harmonics used for harmonic ratio, index of harmonicity and phase fluctuation</span></div><div class = 'S8'><span style=' font-weight: bold;'>Lyap_m = 7; </span><span> % Embedding dimension (used in Lyapunov estimations)</span></div><div class = 'S8'><span style=' font-weight: bold;'>Lyap_FitWinLen</span><span> = round(60/100*FS); % Fitting window length (used in Lyapunov estimations Rosenstein's method)</span></div><div class = 'S8'><span style=' font-weight: bold;'>Sen_m = 5;</span><span> % Dimension, the length of the subseries to be matched (used in sample entropy estimation)</span></div><div class = 'S8'><span style=' font-weight: bold;'>Sen_r = 0.3;</span><span> % Tolerance, the maximum distance between two samples to qualify as match, relative to std of DataIn (used in sample entropy estimation)</span></div><h3 class = 'S17' id = 'H_2EA43FAC' ><span>Index of harmonicity (Lamoth et al. 2002)</span></h3><div class = 'S8'><span>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 ; </span><span style=' font-weight: bold;'>FORMULA</span></div><div class = 'S8'><span>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.</span></div><h3 class = 'S17' id = 'H_3E396779' ><span>Lyapunov exponents (Wolfs vs. Rosenstein)</span></h3><div class = 'S8' id = 'H_B1B85E8D' ><span>The W-algorithm is advocated for use when examining local dynamic stability with small gait data sets.</span></div><h2 class = 'S13' id = 'H_9FD2A70A' ><span>Visualize step detection;</span></h2><div class = 'S8'><span>function [ResultStruct] = GaitVariabilityAnalysisIH_WithoutTurns(inputData,FS,LegLength,ApplyRealignment,ApplyRemoveSteps);</span></div><div class = 'S8'><span style=' font-weight: bold;'>script for analysing straight parts</span></div><div class = 'S8'><span>(1) Realign Data</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S4'><span style="white-space: pre;"><span style="color: rgb(2, 128, 9);">%% Realign data</span></span></div></div><div class="inlineWrapper"><div class = 'S5'><span style="white-space: pre;"><span>data = inputData(:, [3,2,4]); </span><span style="color: rgb(2, 128, 9);">% reorder dat
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="32207BDD" data-testid="output_7" data-width="859" data-height="48" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> StrideRegularity_V: 0.9005
StrideRegularity_ML: 0.7110
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="6761CFE5" data-testid="output_8" data-width="859" data-height="62" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> StrideRegularity_V: 0.9005
StrideRegularity_ML: 0.7110
StrideRegularity_AP: 0.6643
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="C7C8DF4E" data-testid="output_9" data-width="859" data-height="76" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> StrideRegularity_V: 0.9005
StrideRegularity_ML: 0.7110
StrideRegularity_AP: 0.6643
StrideRegularity_All: 0.7765
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="94F0ACE6" data-testid="output_10" data-width="859" data-height="90" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> StrideRegularity_V: 0.9005
StrideRegularity_ML: 0.7110
StrideRegularity_AP: 0.6643
StrideRegularity_All: 0.7765
RelativeStrideVariability_V: 0.0995
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="27BD8749" data-testid="output_11" data-width="859" data-height="104" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> StrideRegularity_V: 0.9005
StrideRegularity_ML: 0.7110
StrideRegularity_AP: 0.6643
StrideRegularity_All: 0.7765
RelativeStrideVariability_V: 0.0995
RelativeStrideVariability_ML: 0.2890
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="BF42401A" data-testid="output_12" data-width="859" data-height="118" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="8236BCAC" data-testid="output_13" data-width="859" data-height="132" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="AAEBEE1A" data-testid="output_14" data-width="859" data-height="146" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="ACDA8683" data-testid="output_15" data-width="859" data-height="160" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="4D05722A" data-testid="output_16" data-width="859" data-height="174" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="16632CD8" data-testid="output_17" data-width="859" data-height="188" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="21DBD72B" data-testid="output_18" data-width="859" data-height="202" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="42E9BB1C" data-testid="output_19" data-width="859" data-height="216" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="782B8BFF" data-testid="output_20" data-width="859" data-height="230" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="0AC89326" data-testid="output_21" data-width="859" data-height="244" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="E2515463" data-testid="output_22" data-width="859" data-height="258" data-hashorizontaloverflow="false" style="width: 889px; max-height: 269px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="2BAC16DE" data-testid="output_23" data-width="859" data-height="272" data-hashorizontaloverflow="false" style="width: 889px; max-height: 283px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="810B2656" data-testid="output_24" data-width="859" data-height="286" data-hashorizontaloverflow="false" style="width: 889px; max-height: 297px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="41675B62" data-testid="output_25" data-width="859" data-height="300" data-hashorizontaloverflow="false" style="width: 889px; max-height: 311px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="A31B96BE" data-testid="output_26" data-width="859" data-height="314" data-hashorizontaloverflow="false" style="width: 889px; max-height: 325px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="BA375E3D" data-testid="output_27" data-width="859" data-height="328" data-hashorizontaloverflow="false" style="width: 889px; max-height: 339px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="58267D3A" data-testid="output_28" data-width="859" data-height="342" data-hashorizontaloverflow="false" style="width: 889px; max-height: 353px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="E076968E" data-testid="output_29" data-width="859" data-height="356" data-hashorizontaloverflow="false" style="width: 889px; max-height: 367px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="F7A7D385" data-testid="output_30" data-width="859" data-height="370" data-hashorizontaloverflow="false" style="width: 889px; max-height: 381px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="DDA96C2D" data-testid="output_31" data-width="859" data-height="384" data-hashorizontaloverflow="false" style="width: 889px; max-height: 395px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="FC3B4915" data-testid="output_32" data-width="859" data-height="398" data-hashorizontaloverflow="false" style="width: 889px; max-height: 409px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="C841B74A" data-testid="output_33" data-width="859" data-height="412" data-hashorizontaloverflow="false" style="width: 889px; max-height: 423px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="EB0B8CF8" data-testid="output_34" data-width="859" data-height="426" data-hashorizontaloverflow="false" style="width: 889px; max-height: 437px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="6CA34B0E" data-testid="output_35" data-width="859" data-height="440" data-hashorizontaloverflow="false" style="width: 889px; max-height: 451px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="5D4CF778" data-testid="output_36" data-width="859" data-height="454" data-hashorizontaloverflow="false" style="width: 889px; max-height: 465px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="E329E1E0" data-testid="output_37" data-width="859" data-height="468" data-hashorizontaloverflow="false" style="width: 889px; max-height: 479px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="51C2AD0B" data-testid="output_38" data-width="859" data-height="482" data-hashorizontaloverflow="false" style="width: 889px; max-height: 493px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement" uid="5F0960B2" data-testid="output_39" data-width="859" data-height="496" data-hashorizontaloverflow="false" style="width: 889px; max-height: 507px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="65F21AC5" data-testid="output_40" data-width="859" data-height="510" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="0E2A6448" data-testid="output_41" data-width="859" data-height="524" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="4FCE20FF" data-testid="output_42" data-width="859" data-height="538" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="267BCB0B" data-testid="output_43" data-width="859" data-height="552" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="97C3E506" data-testid="output_44" data-width="859" data-height="566" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="36CB609B" data-testid="output_45" data-width="859" data-height="580" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="A0A175C0" data-testid="output_46" data-width="859" data-height="594" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="8A8D774A" data-testid="output_47" data-width="859" data-height="608" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="7CF019CC" data-testid="output_48" data-width="859" data-height="622" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="A9B7C1A9" data-testid="output_49" data-width="859" data-height="636" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="EC0450B0" data-testid="output_50" data-width="859" data-height="650" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="76ECEE0E" data-testid="output_51" data-width="859" data-height="664" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="555BDE94" data-testid="output_52" data-width="859" data-height="678" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="4E516E6D" data-testid="output_53" data-width="859" data-height="692" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="6D782227" data-testid="output_54" data-width="859" data-height="706" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="3396F107" data-testid="output_55" data-width="859" data-height="720" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;" data-scroll-top="459" data-scroll-left="0"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div><div class="inlineElement eoOutputWrapper embeddedOutputsVariableStringElement scrollableOutput" uid="45400C78" data-testid="output_56" data-width="859" data-height="734" data-hashorizontaloverflow="false" style="width: 889px; max-height: 261px;" data-scroll-top="0" data-scroll-left="0"><div class="textElement"><div><span class="variableNameElement">ResultStruct = <span class="headerElement">struct with fields:</span></span></div><div> 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
</div></div></div></div></div></div><h2 class = 'S13' id = 'H_4847D0D3' ><span>AggregateFunction;</span></h2></div>
<br>
<!--
##### SOURCE BEGIN #####
%% Gait Variability Analysis CLBP
% Gait Variability Analysis
% Script created for MAP 2020-2021
% adapted from Claudine Lamoth and Iris Hagoort
% version1 October 2020
% Input: needs mat file which contains all raw accelerometer data
% Input: needs excel file containing the participant information including
% leg length.
%% Clear and close;
clear;
close all;
%% 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)
%load('Phyphoxdata.mat'); % loads accelerometer data, is stored in struct with name AccData
%load('ExcelInfo.mat');
%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);
accX = PhyphoxData(:,2);
accY = PhyphoxData(:,3);
accZ = PhyphoxData(:,4);
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
figure(1);
plot(c,AccX,c,AccY,c,AccZ); % Plot signal over timeframe
title('acc signal not filtered - First Minute')
xlabel('Time (s)');
ylabel('acceleration (g)');
legend('X - ML','Y - Vertical','Z - AP')
%%
%%
%% Calculate parameters;
% calculate only for the first participant;
inputData = AccData;
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
%% 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);
dataAcc = RealignedAcc;
end
%%
% (2) Filter Data
%% Filter data strongly & Determine location of steps
% Filter data
[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
% Determine 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
figure(2);
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
%% Visualizing 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;
end
% visualising signal;
figure;
subplot(2,1,1)
hold on;
plot(magNoGfilt,'b')
plot(magNoGfilt_copy, 'r');
title('Inside Straight: Filtered data with turns highlighted in blue')
hold off;
%%
% (6) CALCULATIONS
%% Calculation
% VRAAG LAURENS zie blauwe blaadje
startPos = 1;
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);
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
%% AggregateFunction;
##### SOURCE END #####
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