Computer filtering of an ECG signal based on the prior knowledge principle--General concept

M. A. Slonim, M. Levi, D. Yaron, E. A. Ovsyscher

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A novel computer method for ECG (electrocardiographic) signal filtering is discussed. This method is based on a concept called the prior knowledge principle (PKP). The PKP assumes that the measured signal contains the ECG signal itself and environmental noises. An artificial signal with amplitude and time resembling the real ECG signal has been constructed. Cases of white and network noise are analyzed, with the level of noise varying from 0 to 100%. The calculated errors for the techniques used do not exceed 20%.

Original languageEnglish
Title of host publicationComputers in Cardiology
PublisherPubl by IEEE
Pages397-400
Number of pages4
ISBN (Print)0818621141
StatePublished - 1 Sep 1989
EventProceedings - Computers in Cardiology - Jerusalem, Isr
Duration: 19 Sep 198922 Sep 1989

Publication series

NameComputers in Cardiology
ISSN (Print)0276-6574

Conference

ConferenceProceedings - Computers in Cardiology
CityJerusalem, Isr
Period19/09/8922/09/89

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

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