DETECTION OF FETAL ECG WITH IIR ADAPTIVE FILTERING AND GENETIC ALGORITHMS

A. Kam, A. Cohen

Research output: Contribution to journalConference articlepeer-review

35 Scopus citations

Abstract

The continuous monitoring of fetal heart condition during pregnancy and labor is of great clinical importance. The cardiac electrical activity of the fetus (FECG) may be recorded by means of surface abdominal electrodes. The signal is severely contaminated by the maternal cardiac signal (MECG). FECG enhancement is usually performed by FIR adaptive filtering. A new W FECG enhancement system is suggested and evaluated. In order to avoid convergence into local extremum, the system employs genetic algorithm (GA). Two architectures are considered. The first is a combination of adaptive filter and GA where the GA is recruited whenever the adaptive filter is suspected of reaching a local extremum . The second is an independent GA search. The hybrid ER-GA was shown to be superior to the conventional FIR adaptive filtering.

Original languageEnglish
Pages (from-to)2335-2338
Number of pages4
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume4
DOIs
StatePublished - 1 Jan 1999
EventProceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) - Phoenix, AZ, USA
Duration: 15 Mar 199919 Mar 1999

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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