DocumentCode
307716
Title
Classification of event-related potential waveforms with parallel principal component neural networks
Author
Sveinsson, J.R. ; Benediktsson, J.A. ; Stefansson, S.B.
Author_Institution
Inst. of Eng. Res., Iceland Univ., Reykjavik, Iceland
Volume
1
fYear
1995
fDate
20-25 Sep 1995
Firstpage
799
Abstract
A new artificial neural network (ANN) architecture for classification of event-related potential (ERP) waveforms is proposed. The new architecture is called the parallel principal component neural network (PPCNN). The use of PPCNN is discussed in terms of classification of ERP data obtained from chronic schizophrenic patients and from normal volunteers
Keywords
bioelectric potentials; medical signal processing; neural net architecture; parallel processing; chronic schizophrenic patients; electrodiagnostics; event-related potential waveforms classification; normal volunteers; parallel principal component neural networks; signal classification; Artificial neural networks; Biological neural networks; Enterprise resource planning; Error correction; Neural networks; Nonhomogeneous media; Personal communication networks; Psychiatry; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location
Montreal, Que.
Print_ISBN
0-7803-2475-7
Type
conf
DOI
10.1109/IEMBS.1995.575369
Filename
575369
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