Knowledge-based enhancement of human EEG signals

Author

Ifeachor, E.G. ; Hellyar, M.T. ; Mapps, D.J. ; Allen, E.M.

Author_Institution

Sch. of Electron., Commun. & Electr. Eng., Polytech. South West, Plymouth, UK

Volume

137

Issue

5

fYear

1990

fDate

10/1/1990 12:00:00 AM

Firstpage

302

Lastpage

310

Abstract

The human electroencephalogram (EEG) contains useful diagnostic information on a variety of neurological disorders. However, like all biomedical signals, the EEG is very susceptible to a variety of large-signal contaminations or artefacts which reduce its clinical usefulness. The authors discuss the use of knowledge-based techniques to overcome the limitations of an adaptive signal-processing method developed for real-time ocular artefact removal. Knowledge-based techniques are used to recognise and subsequently classify the pathological waves and ocular artefacts, based on a knowledge of their characteristics and the heuristics used by EEG experts. This makes it possible to remove the artefacts from the EEG signal only when it is necessary and with minimal distortion of any diagnostic information in the EEG. Preliminary results are presented to illustrate the advantages of the new approach

Keywords

computerised signal processing; electroencephalography; interference suppression; knowledge based systems; medical computing; patient diagnosis; real-time systems; signal processing equipment; adaptive signal-processing method; diagnostic information; human EEG signals; human electroencephalogram; knowledge-based techniques; minimal distortion; pathological waves; real-time ocular artefact removal;

fLanguage

English

Journal_Title

Radar and Signal Processing, IEE Proceedings F

Publisher

iet

ISSN

0956-375X

Type

jour

Filename

217007