gradmap.m

含有多种ICA算法的eeglab工具箱

% gradmap() - compute the gradient of an EEG spatial distribution.
%
% Usage:
%    >> [gradX, gradY ] = gradmap( map, filename, draw )
%
% Inputs:
%    map      - level of activity (size: nbelectrodes x nbChannel)
%    filename - filename (.loc file) countaining the coordinates
%               of the electrodes, or array countaining complex positions 		 
%               Can also be a EEGLAB channel structure.
%    draw     - integer, if not nul draw the gradient (default:0)
%
% Output:
%    gradX    - gradient over X 
%    gradY    - gradient over Y (use cart2pol to get polar coordinates) 
%
% Author: Arnaud Delorme, CNL / Salk Institute, 2001

%  This section bastardizes topoplot.m in order to get gradient maps
%  for all of the component maps brought back from ClusMapSpec.m
%  This is done to improve the clustering results.

%123456789012345678901234567890123456789012345678901234567890123456789012

% Copyright (C) 2001 Arnaud Delorme, Salk Institute, [e-mail]
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program; if not, write to the Free Software
% Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA

% $Log: gradmap.m,v $
% Revision 1.3  2004/07/26 18:10:28  arno
% debug for eeglab
%
% Revision 1.2  2004/07/26 18:02:23  arno
% *** empty log message ***
%
% Revision 1.1  2002/04/05 17:39:45  jorn
% Initial revision
%
% 01-25-02 reformated help & license -ad 
% adapted from a version by Scott Makeig et Marissa Wicklein

function [gradx, grady] = gradmap( map, filename, draw ) 

if nargin < 2
	help gradmap;
	return;
end;

MAXCHANS = size(map,1);
GRID_SCALE = 2*MAXCHANS+5;

% Read the channel file
% ---------------------
if isnumeric( filename )
	x = real(filename);
	y = imag(filename);
else
    tmploc = readlocs( filename);
    fe = find(cellfun('isempty', { tmploc.theta }));
    tmploc(fe) = [];
    map(fe,:) = [];
	[x,y] = pol2cart(cell2mat({tmploc.theta}),cell2mat({tmploc.radius}));
end;	

% locates nearest position of electrod in the grid 
% ------------------------------------------------
xi = linspace(-0.5,0.5,GRID_SCALE);   % x-axis description (row vector)
yi = linspace(-0.5,0.5,GRID_SCALE);   % y-axis description (row vector)
for i=1:MAXCHANS
   [useless_var horizidx(i)] = min(abs(y(i) - xi));    % find pointers to electrode
   [useless_var vertidx(i)] = min(abs(x(i) - yi));     % positions in Zi
end;
   
draw = 1;

% Compute gradient
% ----------------
for i=1:size(map,2) 
   	[Xi,Yi,Zi] = griddata(y,x,map(:,i),yi',xi, 'invdist');   % interpolate data
   	[FX,FY] = gradient(Zi);
	positions = horizidx + (vertidx-1)*GRID_SCALE;

	gradx(:,i) = FX(positions(:));
	grady(:,i) = FY(positions(:));

	% Draw gradient
	% -------------
	if exist('draw');
		subplot(ceil(sqrt(size(map,2))), ceil(sqrt(size(map,2))), i);
		contour(imresize(Zi,0.5)); hold on
		quiver(imresize(FX, 0.5), imresize(FY, 0.5)); hold off
	end;
end;                                                       

return;