ABSTRACT
The technological progress in the biomedical field has led to the construction of recording equipment which allows recording 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, and sometimes also for ECG and EMG signals. Analysis of multichannel data can give a better insight into the relations between the investigated sites, 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 of the multichannel (multivariate ) data are especially useful in this respect. In this chapter an introduction to basic aspects of multichannel data processing will be presented.
