[422372]: / functions / miscfunc / eeg_ms2f.m

Download this file

48 lines (45 with data), 2.0 kB

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
% EEG_MS2F - convert epoch latency in ms to nearest epoch frame number
%
% Usage:
% >> outf = eeg_ms2f(EEG,ms);
% Inputs:
% EEG - EEGLAB data set structure
% ms - epoch latency in milliseconds
% Output:
% outf - nearest epoch frame to the specified epoch latency
%
% Author: Scott Makeig, SCCN/INC, 12/05
% Copyright (C) Scott Makeig, SCCN/INC, 12/05
%
% This file is part of EEGLAB, see http://www.eeglab.org
% for the documentation and details.
%
% Redistribution and use in source and binary forms, with or without
% modification, are permitted provided that the following conditions are met:
%
% 1. Redistributions of source code must retain the above copyright notice,
% this list of conditions and the following disclaimer.
%
% 2. Redistributions in binary form must reproduce the above copyright notice,
% this list of conditions and the following disclaimer in the documentation
% and/or other materials provided with the distribution.
%
% THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
% AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
% IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
% ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
% LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
% CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
% SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
% INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
% CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
% ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
% THE POSSIBILITY OF SUCH DAMAGE.
function outf = eeg_ms2f(EEG,ms)
ms = ms/1000;
if ms < EEG.xmin || ms > EEG.xmax
error('time out of range');
end
outf = 1+round((EEG.pnts-1)*(ms-EEG.xmin)/(EEG.xmax-EEG.xmin));
% else
% [tmp outf] = min(abs(EEG.times-ms));