A signal separation algorithm for fetal heart-rate estimation

K. C. Lai, J. J. Shynk

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)

Abstract

In this paper, we describe an adaptive algorithm for separating fetal and maternal heart beats from data containing both fetal and maternal QRS complexes. The algorithm classifies the combined heart-rate data as a series of fetal, maternal, and noise events using a technique of template matching. Peak detection is first employed to locate the potential fetal and maternal QRS complexes (referred to as candidate events). Fetal and maternal templates are generated automatically from the candidate events in the initialization period, and are used to classify the remaining candidate events based on certain similarity criteria. Once the fetal and maternal complexes are successfully detected and separated, a counting mechanism can be utilized to derive the corresponding heart rates. Computer simulations using real data demonstrate the effectiveness of the algorithm.

Original languageEnglish
Pages (from-to)348-351
Number of pages4
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume1
Publication statusPublished - 2000 Dec 1
Event34th Asilomar Conference - Pacific Grove, CA, United States
Duration: 2000 Oct 292000 Nov 1

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

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