Journal
PHYSIOLOGICAL MEASUREMENT
Volume 33, Issue 7, Pages 1135-1150Publisher
IOP PUBLISHING LTD
DOI: 10.1088/0967-3334/33/7/1135
Keywords
electrocardiography; R-peak detection; abdominal measurements; fetal ECG; wavelet transform; adaptive signal processing
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Funding
- Dutch Technology Foundation STW
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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.
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