Contains a set of tools for the decomposition and filtering of multichannel biosignals, including the ECG and MCG. The methods are based on a special class of semi-blind source separation techniques that use prior information about the desired or undesired signal and noise subspaces to decompose multichannel recordings. The prior information used by this technique can have the form of pseudo-periodicity (as for adult and fetal ECG/MCG), nonstationarity (as for EOG artifacts in the EEG), spectral contrast (as for different EEG spectral bands), event relatedness (as for ERP in EEG signals), or etc.
Name | Last modified | size | Description |
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NSCA.m | 2008-12-10 | 0.30 KB | Matlab File |
PiCA.m | 2009-04-20 | 2.22 KB | Matlab File |
PiCAMatrixes.m | 2008-02-01 | 1.02 KB | Matlab File |
PiCAMatrixes1.m | 2007-12-07 | 0.53 KB | Matlab File |
SCA.m | 2008-07-30 | 0.57 KB | Matlab File |
SynchPhaseTimes2.m | 2009-04-20 | 1.42 KB | Matlab File |