Low-complexity R-peak detection as a first step in ambulatory fetal monitoring

M.J. Rooijakkers, C. Rabotti, M. Mischi

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

Abstract

Fetal Heart Rate (fHR) monitoring and derivation of the fetal electrocardiogram (fECG) are important in assessing fetal distress during pregnancy and delivery. Currently used methods of obtaining the fECG using an invasive scalp electrode are however not suited for long term observation throughout the pregnancy due to their invasiveness. A recently published method enables monitoring of the fHR and fECG non-invasively using abdominal contact electrodes [1]. The method removes the maternal ECG (mECG) to increase the SNR implementing the following steps: preprocessing, maternal R-peak detection, mECG estimation, and mECG subtraction. Due to its complexity however, the method proposed in [1] is unsuitable for continuous ambulatory use. In order to reduce the algorithms’ complexity, the maternal R-peak detection step is replaced [2]. A new R-peak detection algorithm based on the Discrete-Time Continuous Wavelet Transform (DT-CWT) is proposed as a first step in reducing the overall computational complexity of [1], while increasing detection quality of the maternal R-peak detection.
Original languageEnglish
Title of host publicationProceedings of the 10th Belgian Day on Biomedical Engineering, Joint Meeting with the Annual Symposium of the IEEE EMBS Benelux Chapter, 1-2 December, 2011, Leuven / Brussel, Belgium
Pages1-1
Publication statusPublished - 2012
Event10th Belgian National Day on Biomedical Engineering / Annual Symposium of the IEEE EMBS Benelux Chapter - Brussels, Belgium
Duration: 1 Dec 20112 Dec 2011

Conference

Conference10th Belgian National Day on Biomedical Engineering / Annual Symposium of the IEEE EMBS Benelux Chapter
Country/TerritoryBelgium
CityBrussels
Period1/12/112/12/11

Fingerprint

Dive into the research topics of 'Low-complexity R-peak detection as a first step in ambulatory fetal monitoring'. Together they form a unique fingerprint.

Cite this