Extraction of principal components from biosignals by neural net.
This contribution gives the information on a useful application of principal component analysis (PCA) in the field of electroencephalogram (EEG) and laser-Doppler signal processing. The principal components are estimated by a neural network (NN) approach.
Krajca
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Faculty Hospital Bulovka, Department of Neurology, Prague, Czech Republic. krajca@neuro.anet.cz
Principe
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Petránek
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D000465:Algorithms; D001783:Blood Flow Velocity; D004569:Electroencephalography; D004827:Epilepsy / Q000175:diagnosis / Q000503:physiopathology; D005163:Factor Analysis, Statistical; D006801:Humans; D017078:Laser-Doppler Flowmetry; D008833:Microcirculation; D016571:Neural Networks, Computer; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted