A neural network based approach to whitening biological noise for somatosensory evoked potential detection

Author

Smith, Derek B. ; Lovely, Dennis F.

Author_Institution

Inst. of Biomed. Eng., New Brunswick Univ., Fredericton, NB, Canada

Volume

1

fYear

1995

fDate

20-25 Sep 1995

Firstpage

803

Abstract

A matched filter is the optimal technique for detecting a known signal buried in additive white noise. Surface recorded somatosensory evoked potentials are corrupted with non-white noise, and so must be whitened before being passed to a matched filter. The authors evaluated the viability of selected artificial neural networks in whitening the noise of recorded evoked potentials

Keywords

bioelectric potentials; matched filters; medical signal processing; neural nets; signal detection; somatosensory phenomena; white noise; corrupted potentials; electrodiagnostics; known signal detection; neural network based approach; nonwhite noise; optimal technique; selected artificial neural networks viability; somatosensory evoked potential detection; whitening biological noise; Artificial neural networks; Background noise; Bandwidth; Biomedical measurements; Biomedical monitoring; Interference; Matched filters; Neural networks; Signal to noise ratio; Testing;

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.1995.575371

Filename

575371