On generalized adaptive neural filters with application to enhancing EKG signals

Zeeman Z. Zhang, Nirwan Ansari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A new class of nonlinear filters called the generalized adaptive neural filters (GANFs) is introduced to process EKG signals. Experimental results are presented to demonstrate the effectiveness of GANF in suppressing non white Gaussian noise in EKG signals.

Original languageEnglish (US)
Title of host publication1993 IEEE 19th Annual Northeasrt Bioengineering Conference
PublisherPubl by IEEE
Pages101-102
Number of pages2
ISBN (Print)0780309251
StatePublished - Jan 1 1993
EventProceedings of the 1993 IEEE 19th Annual Northeast Bioengineering Conference - Newark, NJ, USA
Duration: Mar 18 1993Mar 19 1993

Other

OtherProceedings of the 1993 IEEE 19th Annual Northeast Bioengineering Conference
CityNewark, NJ, USA
Period3/18/933/19/93

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)

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