Extraction of principal components from biosignals by neural net

Article type: Research Article

Authors: Krajča, Vladímir^{a; *} | Principe, Jose C.^b | Petránek, Svojmil^b

Affiliations: [a] Faculty Hospital Bulovka, Department of Neurology, Budínova 2, Prague 8, CZ-18081 | [b] University of Florida, Department of Electrical Engineering, Gainesville, FL, USA. E-mail: [email protected]

Correspondence: [*] Corresponding author. Faculty Hospital Bulovka, Department of Neurology, Budínova 2, 180 81 Praha 8, Czech Republic. Tel.: (00420)2 6608 2307; Fax: (00420)2 821051; E-mail: [email protected].

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.

Keywords: Biosignal, principal components, neural nets

DOI: 10.3233/THC-1999-72-305

Journal: Technology and Health Care, vol. 7, no. 2-3, pp. 137-141, 1999