Low-complexity R-peak detection for ambulatory fetal monitoring.
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.
Faculty of Electrical Engineering, University of Technology Eindhoven, 5612 AZ, Eindhoven, The Netherlands. m.j.rooijakkers@tue.nl
Michael J
MJ
Rooijakkers
Chiara
C
Rabotti
S Guid
SG
Oei
Massimo
M
Mischi
D000465:Algorithms; D015716:Electrocardiography, Ambulatory / Q000379:methods*; D004566:Electrodes; D005260:Female; D005323:Fetal Monitoring / Q000379:methods*; D006801:Humans; D011247:Pregnancy; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis