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Classification of event-related potential waveforms with parallel principal component neural networks

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish
Pages (from-to)799-800
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume17
Issue number1
Publication statusPublished - 1995
EventProceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) - Montreal, Can
Duration: 20 Sept 199523 Sept 1995

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