Low-complexity R-peak detection for ambulatory fetal monitoring

M.J. Rooijakkers, C. Rabotti, S.G. Oei, M. Mischi

Research output: Contribution to journalArticleAcademicpeer-review

57 Citations (Scopus)

Abstract

Non-invasive fetal health monitoring during pregnancy is becoming increasingly important because of the increasing number of high-risk pregnancies. Despite recent advances in signal-processing technology, which have enabled fetal monitoring during pregnancy using abdominal electrocardiogram (ECG) recordings, ubiquitous fetal health monitoring is still unfeasible due to the computational complexity of noise-robust solutions. In this paper, an ECG R-peak detection algorithm for ambulatory R-peak detection is proposed, as part of a fetal ECG detection algorithm. The proposed algorithm is optimized to reduce computational complexity, without reducing the R-peak detection performance compared to the existing R-peak detection schemes. Validation of the algorithm is performed on three manually annotated datasets. With a detection error rate of 0.23%, 1.32% and 9.42% on the MIT/BIH Arrhythmia and in-house maternal and fetal databases, respectively, the detection rate of the proposed algorithm is comparable to the best state-of-the-art algorithms, at a reduced computational complexity.
Original languageEnglish
Pages (from-to)1135-1150
Number of pages16
JournalPhysiological Measurement
Volume33
Issue number7
DOIs
Publication statusPublished - 2012

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