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
Link To Document :
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