title: Extraction of principal components from biosignals by neural net.
abstract: 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.
authors.affiliation: Faculty Hospital Bulovka, Department of Neurology, Prague, Czech Republic. krajca@neuro.anet.cz
authors.forename: V
authors.initials: V
authors.lastname: Krajca
authors.forename: J C
authors.initials: JC
authors.lastname: Principe
authors.forename: S
authors.initials: S
authors.lastname: Petránek
mesh_terms: 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