October 2021
Intermediate to advanced
370 pages
10h 41m
English
The technological progress in the biomedical field has led to the construction of recording equipment, allowing registration of activity from multiple sites. Today a typical dataset contains not only two or four but dozens or hundreds of channels. This is especially the case for EEG, MEG, fMRI, and sometimes also for ECG and EMG signals. Analysis of multichannel data can give a better insight into the relations between the investigated signals, but it is a challenging task. Besides many experimental and computational difficulties, the problem quite often lies in the proper application of existing mathematical tools. The techniques capitalizing on the covariance structure ...
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