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http://dx.doi.org/10.5370/KIEE.2018.67.7.898

Heart Beat Interval Estimation Algorithm for Low Sampling Frequency Electrocardiogram Signal  

Choi, Byunghun (LG Electronics CTO)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.67, no.7, 2018 , pp. 898-902 More about this Journal
Abstract
A novel heart beat interval estimation algorithm is presented based on parabola approximation method. This paper presented a two-step processing scheme; a first stage is finding R-peak in the Electrocardiogram (ECG) by Shannon energy envelope estimator and a secondary stage is computing the interpolated peak location by parabola approximation. Experimental results show that the proposed algorithm performs better than with the previous method using low sampled ECG signals.
Keywords
Electrocardiogram (ECG); peak detection; parabola approximation;
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1 Pan, Jiapu, and Willis J. Tompkins, "A real-time QRS detection algorithm", IEEE transactions on biomedical engineering 3 (1985): pp. 230-236.
2 Benitez, Ds S., et al. "A new QRS detection algorithm based on the Hilbert transform", Computers in Cardiology 2000. IEEE, 2000.
3 Huang, Boqiang, and Yuanyuan Wang. "Detecting QRS complexes of two-channel ECG signals by using combined wavelet entropy", Bioinformatics and Biomedical Engineering, 2009. ICBBE 2009. 3rd International Conference on. IEEE, 2009.
4 Friesen, Gary M., et al. "A comparison of the noise sensitivity of nine QRS detection algorithms", IEEE Transactions on biomedical engineering 37.1 (1990): pp. 85-98.   DOI
5 Li, Cuiwei, Chongxun Zheng, and Changfeng Tai. "Detection of ECG characteristic points using wavelet transforms", IEEE Transactions on biomedical Engineering 42.1 (1995): pp. 21-28.   DOI
6 Nimunkar, Amit J., and Willis J. Tompkins. "R-peak detection and signal averaging for simulated stress ECG using EMD", Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE. IEEE, 2007.
7 Sasikala, P., and R. Wahidabanu. "Robust r peak and qrs detection in electrocardiogram using wavelet transform", International Journal of Advanced Computer Science and Applications-IJACSA 1.6 (2010): pp. 48-53.
8 Manikandan, M. Sabarimalai, and K. P. Soman. "A novel method for detecting R-peaks in electrocardiogram (ECG) signal", Biomedical Signal Processing and Control 7.2 (2012): pp. 118-128.   DOI
9 Sufi, Fahim, Qiang Fang, and Irena Cosic. "ECG RR peak detection on mobile phones", Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE. IEEE, 2007.
10 Makwana, Nikunj Hasmukhbhai, et al. "Hilbert transform based adaptive ECG R-Peak detection technique", International Journal of Electrical and Computer Engineering 2.5 (2012): p. 639.
11 Sadhukhan, Deboleena, and Madhuchhanda Mitra. "R-peak detection algorithm for ECG using double difference and RR interval processing", Procedia Technology 4 (2012): pp. 873-877.   DOI
12 Kew, Hsein-Ping, and Do-Un Jeong. "Variable threshold method for ECG R-peak detection", Journal of medical systems 35.5 (2011): pp. 1085-1094.   DOI
13 Voglewede, P., Parabola approximation for peak determination. Global DSP Mag. 3:13-17, 2004.
14 Jacobsen, Eric, and Peter Kootsookos. "Fast, accurate frequency estimators [DSP Tips & Tricks]", IEEE Signal Processing Magazine 24.3 (2007): pp. 123-125.   DOI
15 Baek, Hyun Jae, et al. "Reliability of the Parabola Approximation Method in Heart Rate Variability Analysis Using Low-Sampling-Rate Photoplethysmography", Journal of medical systems 41.12 (2017): p. 189.   DOI