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I am getting this error and I don't know why.
Index in position 1 is invalid. Array indices must be positive integers or logical values.
This is the line I am getting it for:
plot(EEG.times,squeeze(EEG.data(channel_index,:,:)),'y')
I attached the data set that can be loaded to see what is going on.
I tried to attach the data file, but it is too large; even when compressed. The data file is sampleEEGdata.mat and can be found in this code downloaded from this link http://mikexcohen.com/book/AnalyzingNeuralTimeSeriesData_MatlabCode.zip

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Star Strider
Star Strider 2021-6-16
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0 个投票

Ran in:
In MATLAB, indices must be integers greater than 0.
This illustrates a way to get some of the data and plot it —
Uz = unzip('http://mikexcohen.com/book/AnalyzingNeuralTimeSeriesData_MatlabCode.zip')
Uz = 1×57 cell array
{'code/accumbens_eeg.mat'} {'code/amsterdam.bmp'} {'code/armorf.m'} {'code/chapter02.m'} {'code/chapter04_datafile.txt'} {'code/chapter04_excel_data.xls'} {'code/chapter04_headache_data.txt'} {'code/chapter04a.m'} {'code/chapter04b.m'} {'code/chapter04c.m'} {'code/chapter05.m'} {'code/chapter06.m'} {'code/chapter09.m'} {'code/chapter10.m'} {'code/chapter11.m'} {'code/chapter12.m'} {'code/chapter13.m'} {'code/chapter14.m'} {'code/chapter15.m'} {'code/chapter16.m'} {'code/chapter17.m'} {'code/chapter18.m'} {'code/chapter19.m'} {'code/chapter20.m'} {'code/chapter22.m'} {'code/chapter23.m'} {'code/chapter25.m'} {'code/chapter26.m'} {'code/chapter27.m'} {'code/chapter28.m'} {'code/chapter29.m'} {'code/chapter30.m'} {'code/chapter31.m'} {'code/chapter33.m'} {'code/chapter34.m'} {'code/cover_art.m'} {'code/data_output_SPSS_format.txt'} {'code/data_written_from_matlab.txt'} {'code/data2psiX.m'} {'code/emdx.m'} {'code/entropyx.m'} {'code/erpviewerx.fig'} {'code/erpviewerx.m'} {'code/fdr.m'} {'code/figure34_3_data.mat'} {'code/frequency_sliding_and_median_filter.m'} {'code/interpolate_nola.m'} {'code/interpolate_perrinX.m'} {'code/laplacian_nola.m'} {'code/laplacian_perrinX.m'} {'code/mutualinformationx.m'} {'code/my_matlab_variables.mat'} {'code/pathlength.m'} {'code/sampleEEGdata.mat'} {'code/solutions2exercises.pdf'} {'code/tfviewerx.fig'} {'code/tfviewerx.m'}
% n = strcmp(Uz{:},'sampleEEGdata')
D1 = load(Uz{54});
EEG = D1.EEG
EEG = struct with fields:
setname: 'EEG sample dataset' filename: '' filepath: '' subject: '' group: '' condition: '' session: [] comments: [4×63 char] nbchan: 64 trials: 99 pnts: 640 srate: 256 xmin: -1 xmax: 1.4961 times: [1×640 double] data: [64×640×99 single] icaact: [] icawinv: [] icasphere: [] icaweights: [] icachansind: [] chanlocs: [1×64 struct] urchanlocs: [] chaninfo: [1×1 struct] ref: [-67 -68] event: [1×311 struct] urevent: [1×3009 struct] eventdescription: {'' '' '' '' ''} epoch: [1×99 struct] epochdescription: {} reject: [1×1 struct] stats: [1×1 struct] specdata: [] specicaact: [] splinefile: '' icasplinefile: [] dipfit: [] history: '↵pop_eegplot( EEG, 1, 1, 1);↵EEG.setname='TheNewWave';↵EEG = pop_rejepoch( EEG, find(EEG.reject.rejglobal), 0);↵EEG = eeg_checkset( EEG );' saved: 'no' etc: [1×1 struct] spedata: []
times = EEG.times;
data = EEG.data;
chans = EEG.chanlocs;
channel_index = 1:4;
figure
for k = 1:numel(channel_index)
subplot(2,2,k)
plot(EEG.times,squeeze(EEG.data(channel_index(k),:,:)),'b')
title(sprintf('Channel %s',EEG.chanlocs(k).labels))
xlabel('Time')
ylabel('Amplitude')
grid
end
sgtitle('First Four Channels')
.

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