num_impulsive_samples.m

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function [num_samples_ca, s]=num_impulsive_samples(s)

[num_files, num_vars]=size(s);

num_samples_ca=cell(num_files, num_vars);

for e1=1:num_files;
    for e2=1:num_vars;
        
        num_chans=size(s{e1,e2}.metrics, 1);
        count=0;
        num_samples=zeros(num_chans,1);
        
        for e3=1:num_chans;
            
            if ~isempty(s{e1,1})
                count=count+1;
                num_samples(count)=size(s{e1,e2}.metrics{count,1}, 1);
            end
        
        end

        num_samples_ca{e1, e2}=num_samples;
        
    end
end


for e1=1:num_files;
    for e2=1:num_vars;
        
        s{e1,e2}.metrics_description{1,1}='Peak Index'; 
        s{e1,e2}.metrics_description{2,1}='(Indices)';
        s{e1,e2}.num_samples=num_samples_ca{e1, e2};
        
    end
end