Detection of brain conditions from evoked responses using artificial neural networks

Author

Jervis, B.W. ; Roberts, T. ; Lacey, A. ; Woodcock, R. ; Yu, S. ; Harrison, R.F. ; Lim, C.P. ; Allen, E.M. ; Oke, S.

Author_Institution

Sch. of Eng., Sheffield Hallam Univ., UK

fYear

1996

fDate

35181

Firstpage

42614

Lastpage

42621

Abstract

The contingent negative variation (CNV) is a cognitive event-related potential elicited by the presentation of a warning stimulus followed by an imperative stimulus. Neural nets trained on CNV data offer an additional tool for the diagnosis of Huntington´s Disease, Parkinson´s Disease and schizophrenia, and may also offer a means of detecting and monitoring the pre-onset of Huntington´s Disease. In future, it may be possible to quantify and monitor symptoms and to sub-classify the conditions, thus leading to improved drug treatment and patient care. Application of the fuzzy ARTMAP is most promising in this domain

Keywords

ART neural nets; bioelectric potentials; brain; electroencephalography; fuzzy neural nets; medical signal processing; patient monitoring; patient treatment; Huntington´s Disease; Parkinson´s Disease; artificial neural networks; brain condition detection; brain condition sub-classification; cognitive event-related potential; contingent negative variation; drug treatment; evoked responses; fuzzy ARTMAP; imperative stimulus; patient care; patient diagnosis; patient monitoring; pre-onset detection; schizophrenia; symptoms; warning stimulus;

fLanguage

English

Publisher

iet

Conference_Titel

Artificial Intelligence Methods for Biomedical Data Processing, IEE Colloquium on

Conference_Location

London

Type

conf

DOI

10.1049/ic:19960644

Filename

542976