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MEPDetect_angles.m
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467 lines (374 loc) · 19.2 KB
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function varargout = MEPDetect_angles(varargin)
% MEPDETECT_ANGLES MATLAB code for MEPDetect_angles.fig
% MEPDETECT_ANGLES, by itself, creates a new MEPDETECT_ANGLES or raises the existing
% singleton*.
%
% H = MEPDETECT_ANGLES returns the handle to a new MEPDETECT_ANGLES or the handle to
% the existing singleton*.
%
% MEPDETECT_ANGLES('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in MEPDETECT_ANGLES.M with the given input arguments.
%
% MEPDETECT_ANGLES('Property','Value',...) creates a new MEPDETECT_ANGLES or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before MEPDetect_angles_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to MEPDetect_angles_OpeningFcn via varargin.
%
% *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one
% instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES
% Edit the above text to modify the response to help MEPDetect_angles
% Last Modified by GUIDE v2.5 01-Oct-2013 17:26:56
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @MEPDetect_angles_OpeningFcn, ...
'gui_OutputFcn', @MEPDetect_angles_OutputFcn, ...
'gui_LayoutFcn', [] , ...
'gui_Callback', []);
if nargin && ischar(varargin{1})
gui_State.gui_Callback = str2func(varargin{1});
end
if nargout
[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT
% --- Executes just before MEPDetect_angles is made visible.
function MEPDetect_angles_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% varargin command line arguments to MEPDetect_angles (see VARARGIN)
if ~isempty (varargin)
handles.data = varargin{1};
handles.signal = varargin{2};
handles.MEPStart = varargin{3};
handles.signal_file = varargin{4};
handles.xs = varargin{5};
handles.pos = varargin{6}(1);
handles.id_angle = varargin{6}(2);
axes(handles.axes1);
hold on
end
% get current values of min max positions and plot them
x_max_init = handles.data.pos_max{handles.id_angle}{handles.pos}/handles.signal.fsample(handles.id_angle);
x_min_init = handles.data.pos_min{handles.id_angle}{handles.pos}/handles.signal.fsample(handles.id_angle);
handles.hdata = plot(handles.xs+handles.MEPStart,handles.data.mepmean{handles.id_angle}{handles.pos});
if ~isempty(handles.data.mepmax{handles.id_angle}{handles.pos}) && ~isempty(handles.data.mepmin{handles.id_angle}{handles.pos})
if handles.data.mepmax{handles.id_angle}{handles.pos} ~= 0 && handles.data.mepmin{handles.id_angle}{handles.pos} ~= 0
handles.hmepmax_init = plot(x_max_init + handles.MEPStart, handles.data.mepmax{handles.id_angle}{handles.pos},'+g');
handles.hmepmin_init = plot(x_min_init + handles.MEPStart, handles.data.mepmin{handles.id_angle}{handles.pos},'+g');
end
end
% -------------------------------------
% Choose default command line output for MEPDetect_angles
handles.minmax = [x_min_init handles.data.mepmin{handles.id_angle}{handles.pos};...
x_max_init handles.data.mepmax{handles.id_angle}{handles.pos}];
handles.output_data = handles.data;
handles.output_signal = handles.signal;
handles.output_minmax = handles.minmax;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes MEPDetect_angles wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = MEPDetect_angles_OutputFcn(hObject, eventdata, handles)
% varargout cell array for returning output args (see VARARGOUT);
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
uiwait(hObject);
handles = guidata(hObject);
delete(hObject);
% Get default command line output from handles structure
varargout{1} = handles.output_data;
varargout{2} = handles.output_signal;
varargout{3} = handles.output_minmax;
varargout{4} = handles.output_latency;
% --- Executes on button press in button_initial_values.
function button_initial_values_Callback(hObject, eventdata, handles)
% hObject handle to button_initial_values (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
handles.data.count(handles.id_angle) = handles.data.count(handles.id_angle) - 1;
handles.data.outliers_mep{handles.id_angle}(handles.data.outliers_mep{handles.id_angle} == handles.pos)=[];
handles.data.ch_excluded{handles.id_angle}(handles.data.ch_excluded{handles.id_angle} == handles.pos)=[];
if isfield(handles,'hdata')
if ishandle(handles.hdata)
delete(handles.hdata)
end
end
if isfield(handles,'hmepmax') && isfield(handles,'hmepmin')
if ishandle(handles.hmepmax{handles.id_angle, handles.pos}) && ishandle(handles.hmepmin{handles.id_angle, handles.pos})
delete(handles.hmepmax{handles.id_angle, handles.pos})
delete(handles.hmepmin{handles.id_angle, handles.pos})
end
end
if isfield(handles,'hmepmax_init') && isfield(handles,'hmepmin_init')
if ishandle(handles.hmepmax_init) && ishandle(handles.hmepmin_init)
delete(handles.hmepmax_init)
delete(handles.hmepmin_init)
end
end
handles.data.meps_mono{handles.id_angle}{handles.pos} = handles.data.meps_mono_bkp{handles.id_angle}{handles.pos};
handles.data.mepmean{handles.id_angle}{handles.pos} = handles.data.mepmean_bkp{handles.id_angle}{handles.pos};
handles.data.mepmax{handles.id_angle}{handles.pos} = handles.data.mepmax_bkp{handles.id_angle}{handles.pos};
handles.data.mepmin{handles.id_angle}{handles.pos} = handles.data.mepmin_bkp{handles.id_angle}{handles.pos};
handles.data.fmed{handles.id_angle}{handles.pos} = handles.data.fmed_bkp{handles.id_angle}{handles.pos};
handles.data.amp_rms{handles.id_angle}{handles.pos} = handles.data.amp_rms_bkp{handles.id_angle}{handles.pos};
handles.data.offset_rms{handles.id_angle}{handles.pos} = handles.data.offset_rms_bkp{handles.id_angle}{handles.pos};
handles.data.offset_fmed{handles.id_angle}{handles.pos} = handles.data.offset_fmed_bkp{handles.id_angle}{handles.pos};
handles.data.pos_max{handles.id_angle}{handles.pos} = handles.data.pos_max_init{handles.id_angle}{handles.pos};
handles.data.pos_min{handles.id_angle}{handles.pos} = handles.data.pos_min_init{handles.id_angle}{handles.pos};
x_max = handles.data.pos_max{handles.id_angle}{handles.pos}/handles.signal.fsample(handles.id_angle);
x_min = handles.data.pos_min{handles.id_angle}{handles.pos}/handles.signal.fsample(handles.id_angle);
handles.minmax = [x_min handles.data.mepmin{handles.id_angle}{handles.pos}; x_max handles.data.mepmax{handles.id_angle}{handles.pos}];
handles.hdata = plot(handles.xs+handles.MEPStart,handles.data.mepmean{handles.id_angle}{handles.pos});
handles.hmepmax{handles.id_angle, handles.pos} = plot(x_max+handles.MEPStart,...
handles.data.mepmax{handles.id_angle}{handles.pos},'+g');
handles.hmepmin{handles.id_angle, handles.pos} = plot(x_min+handles.MEPStart,...
handles.data.mepmin{handles.id_angle}{handles.pos},'+g');
if ~isfield(handles,'minmax');
handles.output_minmax = [];
else
handles.output_minmax = handles.minmax;
end
handles.output_latency = [];
handles.output_data = handles.data;
handles.output_signal = handles.signal;
% Update handles structure
guidata(hObject, handles);
% --- Executes on button press in button_ManualSelect.
function button_ManualSelect_Callback(hObject, eventdata, handles)
% hObject handle to button_ManualSelect (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
if isfield(handles,'minmax')
if ishandle(handles.minmax)
delete(handles.minmax)
end
end
% trick to shift the x coordinate using MEPStart
% necessery to combine the plots on this MEP window and the Main one
[x y] = getpts(handles.axes1);
minmax = [x y];
handles.data.ch_excluded{handles.id_angle}(handles.data.ch_excluded{handles.id_angle} == handles.pos)=[];
if ~isempty(minmax)
axes(handles.axes1);
handles.hminmax = plot(minmax(:,1),minmax(:,2),'ro');
end
handles.minmax = [x-handles.MEPStart y];
% Update min and max selected
handles.data.pos_min{handles.id_angle}{handles.pos} = round(handles.minmax(1,1)*handles.signal.fsample(handles.id_angle));
handles.data.pos_max{handles.id_angle}{handles.pos} = round(handles.minmax(2,1)*handles.signal.fsample(handles.id_angle));
handles.data.mepmin{handles.id_angle}{handles.pos} = handles.minmax(1,2);
handles.data.mepmax{handles.id_angle}{handles.pos} = handles.minmax(2,2);
% Update handles structure
guidata(hObject, handles);
% --- Executes on button press in button_OK.
function button_OK_Callback(hObject, eventdata, handles)
% hObject handle to button_OK (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
if ~isfield(handles,'minmax');
handles.output_minmax = [];
else
handles.output_minmax = handles.minmax;
end
if ~isfield(handles,'latency');
handles.output_latency = [];
else
handles.output_latency = handles.latency;
end
handles = rmfield(handles, {'xs', 'pos'});
handles.output_data = handles.data;
handles.output_signal = handles.signal;
uiresume
% Update handles structure
guidata(hObject, handles);
% --- Executes on button press in button_none.
function button_none_Callback(hObject, eventdata, handles)
% hObject handle to button_none (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
if isfield(handles,'hmepmax_init') && isfield(handles,'hmepmin_init')
if ishandle(handles.hmepmax_init) && ishandle(handles.hmepmin_init)
delete(handles.hmepmax_init)
delete(handles.hmepmin_init)
end
end
handles.minmax = [0 0; 0 0];
handles.data.outliers_mep{handles.id_angle}(handles.data.outliers_mep{handles.id_angle} == handles.pos)=[];
if ~isempty(handles.data.ch_excluded{handles.id_angle})
if isempty(handles.data.ch_excluded{handles.id_angle}(handles.data.ch_excluded{handles.id_angle} == handles.pos))
handles.data.ch_excluded{handles.id_angle} = cat(1, handles.data.ch_excluded{handles.id_angle}, handles.pos);
end
else
handles.data.ch_excluded{handles.id_angle} = handles.pos;
end
% Update min and max selected
% handles.data.mepmax{handles.id_angle}{handles.pos} = handles.minmax(1,2);
% handles.data.mepmin{handles.id_angle}{handles.pos} = handles.minmax(2,2);
handles.data.pos_max{handles.id_angle}{handles.pos} = [];
handles.data.pos_min{handles.id_angle}{handles.pos} = [];
handles.data.mepmax{handles.id_angle}{handles.pos} = [];
handles.data.mepmin{handles.id_angle}{handles.pos} = [];
handles.latency = [];
% Update handles structure
guidata(hObject, handles);
% --- Executes on button press in button_LatencySelect.
function button_LatencySelect_Callback(hObject, eventdata, handles)
% hObject handle to button_LatencySelect (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
[xlat ylat] = getpts(handles.axes1);
handles.latency = [xlat ylat];
if ~isempty(handles.latency)
axes(handles.axes1);
handles.hlatencystart = plot(handles.latency(1,1),handles.latency(1,2),'gv');
end
if length(handles.latency) > 1
axes(handles.axes1);
handles.hlatencystop = plot(handles.latency(2,1),handles.latency(2,2),'r^');
end
% Update handles structure
guidata(hObject, handles);
% --- Executes on button press in button_mep_outlier.
function button_mep_outlier_Callback(hObject, eventdata, handles)
% hObject handle to button_mep_outlier (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% count the total number of interpolated electrodes
handles.data.count(handles.id_angle) = handles.data.count(handles.id_angle) + 1;
% coord computation
x = mod(handles.pos, 13);
if x == 0;
x = 13;
end
y = ceil(handles.pos/13);
handles.data.ch_excluded{handles.id_angle}(handles.data.ch_excluded{handles.id_angle} == handles.pos)=[];
if ~isempty(handles.data.outliers_mep{handles.id_angle})
if isempty(handles.data.outliers_mep{handles.id_angle}(handles.data.outliers_mep{handles.id_angle} == handles.pos))
handles.data.outliers_mep{handles.id_angle} = cat(1, handles.data.outliers_mep{handles.id_angle}, handles.pos);
end
else
handles.data.outliers_mep{handles.id_angle} = handles.pos;
end
% Outlier computation
emg_diff_aux = reshape(interpolate_chs_nan(reshape(handles.signal.emg_mono{handles.id_angle}',...
13,5,size(handles.signal.emg_mono{handles.id_angle},1)),[x y]),65,size(handles.signal.emg_mono{handles.id_angle},1))';
% rewritting the emg_map and plotting its new handles.signal
handles.signal.emg_mono{handles.id_angle} = emg_diff_aux;
% -----------------------
% MEPs and minmax computation
if sum(handles.data.trigger{handles.id_angle}(:,handles.pos)) ~= 0
aux_trigger = handles.data.trigger{handles.id_angle}(:,handles.pos);
else
aux_trigger = [];
end
aux_channel = handles.signal.emg_mono{handles.id_angle}(:,handles.pos);
aux_meps = [];
aux_meps_column = [];
aux_offset_signal_columns = [];
aux_offset_signal = [];
for k = 1:length(aux_trigger) % Number of stimulus
handles.data.meps_mono{handles.id_angle}{handles.pos}{k} = aux_channel(aux_trigger(k)+handles.data.s0(handles.id_angle):aux_trigger(k)+handles.data.s1(handles.id_angle)-1);
handles.data.offset_signals{handles.id_angle}{handles.pos}{k} = aux_channel(aux_trigger(k)-handles.data.s1(handles.id_angle)-30+1:aux_trigger(k)-handles.data.s0(handles.id_angle)-30);
if k == 1
aux_meps_column = handles.data.meps_mono{handles.id_angle}{handles.pos}{k};
aux_meps = handles.data.meps_mono{handles.id_angle}{handles.pos}{k};
aux_offset_signal_columns = handles.data.offset_signals{handles.id_angle}{k};
aux_offset_signal = handles.data.offset_signals{handles.id_angle}{handles.pos}{k};
else
aux_meps_column = cat(1, aux_meps_column, handles.data.meps_mono{handles.id_angle}{handles.pos}{k});
aux_meps = cat(2, aux_meps, handles.data.meps_mono{handles.id_angle}{handles.pos}{k});
aux_offset_signal_columns = cat(1, aux_offset_signal_columns,...
handles.data.offset_signals{handles.id_angle}{handles.pos}{k});
aux_offset_signal = cat(2, aux_offset_signal,...
handles.data.offset_signals{handles.id_angle}{handles.pos}{k});
end
end
if isempty(aux_trigger)
handles.data.meps_mono{handles.id_angle}{handles.pos} = [];
handles.data.offset_signals{handles.id_angle}{handles.pos} = [];
end
% median frequency, rms values and mean frequency for meps
[handles.data.fmed{handles.id_angle}{handles.pos}, handles.data.amp_rms{handles.id_angle}{handles.pos}, ~] = Fmed3cla(aux_meps_column,...
handles.signal.fsample(handles.id_angle), handles.data.s1(handles.id_angle)-handles.data.s0(handles.id_angle));
handles.data.fmed{handles.id_angle}{handles.pos} = mean(handles.data.fmed{handles.id_angle}{handles.pos}, 1);
handles.data.amp_rms{handles.id_angle}{handles.pos} = mean(handles.data.amp_rms{handles.id_angle}{handles.pos}, 1);
% median frequency and rms value for the offset signal
[handles.data.offset_fmed{handles.id_angle}{handles.pos}, handles.data.offset_rms{handles.id_angle}{handles.pos}, ~] = Fmed3cla(aux_offset_signal_columns,...
handles.signal.fsample(handles.id_angle), handles.data.s1(handles.id_angle)-handles.data.s0(handles.id_angle));
handles.data.offset_rms{handles.id_angle}{handles.pos} = mean(handles.data.offset_rms{handles.id_angle}{handles.pos}, 1);
handles.data.offset_fmed{handles.id_angle}{handles.pos} = mean(handles.data.offset_fmed{handles.id_angle}{handles.pos}, 1);
handles.data.mepmean{handles.id_angle}{handles.pos} = mean(aux_meps,2);
handles.data.mepmean_outlined = handles.data.mepmean;
handles.data.mepmax{handles.id_angle}{handles.pos} = max(handles.data.mepmean{handles.id_angle}{handles.pos});
handles.data.mepmin{handles.id_angle}{handles.pos} = min(handles.data.mepmean{handles.id_angle}{handles.pos});
handles.data.pos_max{handles.id_angle}{handles.pos} = find(handles.data.mepmean{handles.id_angle}{handles.pos}...
== handles.data.mepmax{handles.id_angle}{handles.pos});
handles.data.pos_min{handles.id_angle}{handles.pos} = find(handles.data.mepmean{handles.id_angle}{handles.pos}...
== handles.data.mepmin{handles.id_angle}{handles.pos});
x_max = handles.data.pos_max{handles.id_angle}{handles.pos}/handles.signal.fsample(handles.id_angle);
x_min = handles.data.pos_min{handles.id_angle}{handles.pos}/handles.signal.fsample(handles.id_angle);
if isfield(handles,'minmax')
if ishandle(handles.minmax)
delete(handles.minmax)
end
end
handles.minmax = [x_min handles.data.mepmin{handles.id_angle}{handles.pos}; x_max handles.data.mepmax{handles.id_angle}{handles.pos}];
% ------------------------
% output atribution
if isfield(handles,'minmax') == 0;
handles.output_minmax = [];
else
handles.output_minmax = handles.minmax;
end
if isfield(handles,'latency') == 0;
handles.output_latency = [];
else
handles.output_latency = handles.latency;
end
handles.output_data = handles;
% --------------
% plot of data and minmax outlined
if isfield(handles,'hdata')
if ishandle(handles.hdata)
delete(handles.hdata)
end
end
if isfield(handles,'hmepmax_init') && isfield(handles,'hmepmin_init')
if ishandle(handles.hmepmax_init) && ishandle(handles.hmepmin_init)
delete(handles.hmepmax_init)
delete(handles.hmepmin_init)
end
end
handles.hdata = plot(handles.xs+handles.MEPStart,handles.data.mepmean{handles.id_angle}{handles.pos});
handles.hmepmax{handles.id_angle, handles.pos} = plot(x_max+handles.MEPStart,...
handles.data.mepmax{handles.id_angle}{handles.pos},'+r');
handles.hmepmin{handles.id_angle, handles.pos} = plot(x_min+handles.MEPStart,...
handles.data.mepmin{handles.id_angle}{handles.pos},'+r');
% -----------------------
% Update handles structure
guidata(hObject, handles);
%Function to interpolate outliers
function data = interpolate_chs_nan(data,outliers)
for n=1:size(outliers,1)
data(outliers(n,1),outliers(n,2),:)=nan;
end
nan_mat=nan(size(data,1)+2,size(data,2)+2,size(data,3));
nan_mat(2:size(data,1)+1,2:size(data,2)+1,:)=data;
for n=1:size(outliers,1)
row=outliers(n,1)+1; col=outliers(n,2)+1;
data2interp=squeeze([nan_mat(row-1,col-1,:); nan_mat(row-1,col,:); nan_mat(row-1,col+1,:);...
nan_mat(row,col-1,:); nan_mat(row,col+1,:); nan_mat(row+1,col-1,:); nan_mat(row+1,col,:);...
nan_mat(row+1,col+1,:)]);
data(outliers(n,1),outliers(n,2),:)=nanmean(data2interp);
end