The mountaineer's method for peak detection in photoplethysmographic signals

Keywords: Photoplethysmography, Peak detection, Low-amplitude signals, Noise contamination, Adaptive threshold

Abstract

Several efforts have been made to develop algorithms for accurate peak detection in photoplethysmographic (PPG) signals. Most of those algorithms have been specifically conceived to perform under high motion artifact and baseline drift conditions. However, little has been done regarding peak detection in low-amplitude PPG signals. In an attempt to address this issue, a simple and real-time peak detection algorithm for PPG signals was proposed. In comparison with two other well-established peak detection algorithms, the proposed method was able to achieve over than 98% sensitivity and less than 3% failed detection rate, even when the amplitude of the PPG signal dropped to 0.2 V. Still, further work is needed to improve its robustness to motion artifacts.

|Abstract
= 231 veces | PDF
= 185 veces|

Downloads

Download data is not yet available.

Author Biography

Erick Javier Argüello-Prada, Universidad Santiago de Cali

Research Group in Electronic, Industrial and Environmental Engineering (GIEIAM). Department of Information and Communication Technologies, Faculty of Engineering.

References

J. Allen, “Photoplethysmography and its application in clinical physiological measurement,” Physiological Measurement, vol. 28, no. 3, pp. R1–39, Feb. 2007.

R. Colombo and et al., “Pulse photoplethysmographic analysis estimates the sympathetic activity directed to heart and vessels,” Anesthesiology, vol. 123, no. 2, pp. 336–345, Aug. 2015.

M. Elgendi, “On the analysis of fingertip photoplethysmogram signals,” Current Cardiology Reviews, vol. 8, no. 1, pp. 14––25, Feb. 2012.

K. Hamunen and et al., “Effect of pain on autonomic nervous system indices derived from photoplethysmography in healthy volunteers,” British Journal of Anaesthesia, vol. 108, no. 5, pp. 838–844, May 2012.

W. J. Jiang, P. Wittek, L. Zhao, and S. C. Gao, “Adaptive thresholding with inverted triangular area for real-time detection of the heart rate from photoplethysmogram traces on a smartphone,” in 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, IL, 2014, pp. 3212–3215.

W. Karlen, J. M. Ansermino, and G. Dumont, “Adaptive pulse segmentation and artifact detection in photoplethysmography for mobile applications,” in 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), San Diego, CA, 2012, pp. 3131–3134.

Z. Marcinkevics, S. Kusnere, J. I. Aivars, U. Rubins, and A. H. Zehtabi, “The shape and dimensions of photoplethysmographic pulse waves: a measurement repeatability study,” Acta Universitatics Latviensis Biology, vol. 753, pp. 99–106, 2009.

R. C. Peng, X. L. Zhou, W. H. Lin, and Y. T. Zhang, “Extraction of heart rate variability from smartphone photoplethysmograms,” Computational and Mathematical Methods in Medicine, vol. 1, pp. 1–11, 2015.

K. H. Shelley, “Photoplethysmography: beyond the calculation of arterial oxygen saturation and heart rate,” Anesthesia & Analgesia, vol. 105, no. 6, pp. S31––S36, Dec. 2007.

H. S. Shin, C. Lee, and M. Lee, “Adaptive threshold method for the peak detection of photoplethysmographic waveform,” Computers in Biology and Medicine, vol. 39, no. 12, pp. 1145–1152, Dec. 2009.

T. V. Tran and W. Y. Chung, “A robust algorithm for real-time peak detection of photoplethysmograms using a personal computer mouse,” IEEE Sensors Journal, vol. 15, no. 8, pp. 4651–4659, Aug. 2015.

T. V. Tran and W. Y. Chung, “A robust peak detection algorithm for photoplethysmographic waveforms in mobile devices,” Journal of Medical Imaging and Health Informatics, vol. 7, no. 7, pp. 1617–1623, Nov. 2017.

D. Žikić, “An improved reflective photoplethysmograph probe design for detection of an arterial blood flow,” Journal of Medical Engineering & Technology, vol. 32, no. 1, pp. 23–29, Jan. 2008.

Published
2019-01-14
How to Cite
Argüello-Prada E. J. (2019). The mountaineer’s method for peak detection in photoplethysmographic signals. Revista Facultad De Ingeniería Universidad De Antioquia, (90), 42-50. https://doi.org/10.17533/udea.redin.n90a06