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generateUnbiasedModel.m
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62 lines (48 loc) · 2.27 KB
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function sessionData = generateUnbiasedModel(sessionData)
m = 1; Time = 0; NumBlankTrials = 0;
for trIdx = 1:sessionData.expInfo.numTrials
if sessionData.processedData_tr(trIdx).info.isBlankTrial && ~sessionData.processedData_tr(trIdx).info.excludeTrial
NumBlankTrials = NumBlankTrials + 1;
temp = sessionData.dependentMeasures_tr(trIdx).lFoot.unbiasedModel;
Time = [Time; cell2mat(temp(:,2))];
NumUnbiasedSteps(m) = size(temp,1);
m = m + 1;
end
end
Time = unique(Time);
NumUnbiasedSteps = floor(mean(NumUnbiasedSteps));
RightFootStepModel = cell(NumUnbiasedSteps - 1, NumBlankTrials, 2);
LeftFootStepModel = cell(NumUnbiasedSteps - 1, NumBlankTrials, 2);
m = 1;
for trIdx = 1:sessionData.expInfo.numTrials
if sessionData.processedData_tr(trIdx).info.isBlankTrial && ~sessionData.processedData_tr(trIdx).info.excludeTrial
temp1 = sessionData.dependentMeasures_tr(trIdx).rFoot.unbiasedModel;
temp2 = sessionData.dependentMeasures_tr(trIdx).lFoot.unbiasedModel;
for i = 1:NumUnbiasedSteps - 1
right_XYZ = interp1(temp1{i,2}, temp1{i,1}, Time);
left_XYZ = interp1(temp2{i,2}, temp2{i,1}, Time);
[pkvals_r, loc_r] = findpeaks(max(right_XYZ(:,3)) - right_XYZ(:,3));
[pkvals_l, loc_l] = findpeaks(max(left_XYZ(:,3)) - left_XYZ(:,3));
if isempty(loc_r)
[~, loc_r] = min(right_XYZ(:,3));
end
if isempty(loc_l)
[~, loc_l] = min(left_XYZ(:,3));
end
if length(loc_r) >= 2
loc_r = loc_r(pkvals_r == max(pkvals_r));
end
if length(loc_l) >= 2
loc_l = loc_l(pkvals_l == max(pkvals_l));
end
RightFootStepModel(i,m,1) = {[right_XYZ Time]};
RightFootStepModel(i,m,2) = {[Time(loc_r) right_XYZ(loc_r,2) right_XYZ(loc_r,3)]};
LeftFootStepModel(i,m,1) = {[left_XYZ Time]};
LeftFootStepModel(i,m,2) = {[Time(loc_l) left_XYZ(loc_l,2) left_XYZ(loc_l,3)]};
end
m = m + 1;
end
end
sessionData.RightStepModel = RightFootStepModel;
sessionData.LeftStepModel = LeftFootStepModel;
end