Accurate detection of dicrotic notch from PPG signal for telemonitoring applications
by Abhishek Chakraborty; Deboleena Sadhukhan; Madhuchhanda Mitra
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 37, No. 2, 2021

Abstract: Recent technological advancement has inspired the modern population to adopt a portable, simple personal telemonitoring system that uses easy-to-acquire biosignal such as photoplethysmogram (PPG) for regular monitoring of vital signs. Consequently computerised analysis of PPG signal through accurate detection of clinically significant PPG fiducial points like dicrotic notch has become a key research area for early detection of physiological anomalies. In this research, a simple and robust algorithm is proposed for accurate detection of dicrotic notch from the PPG signal employing first and second derivative of the denoised signal, slope-reversal and an empirical formula-based approach. Features related to the dicrotic notch are then extracted from the baseline-corrected PPG signal and performance of the algorithm is evaluated over different standard PPG databases as well as over originally acquired signal. The algorithm achieves high efficiency in terms of sensitivity, positive predictivity, detection accuracy and low value of errors in the detected features.

Online publication date: Wed, 08-Dec-2021

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