Use of zero-frequency resonator for automatically detecting systolic peaks of photoplethysmogram signal

Healthcare Technology Letters

article

Simhadri Vadrevu¹  M. Sabarimalai Manikandan¹ 

[1] School of Electrical Sciences, Indian Institute of Technology Bhubaneswar

关键词: medical signal processing;    medical signal detection;    photoplethysmography;    zero-frequency resonator;    photoplethysmogram signal;    automated noise-robust method;    central difference operation;    mean subtraction;    averaging;    peak determination;    recorded PPG signals;    ZFR-based method;    noisy PPG signals;    signal-to-noise ratio;    detection rates;    automatically detecting systolic peaks;    peak rejection-acceptance rule;    standard MIT-BIH polysomnographic database;    complex system laboratory database;    average sensitivity;    positive predictivity;    SNR;   

DOI  :  10.1049/htl.2018.5026

学科分类：肠胃与肝脏病学

来源: Wiley

【 摘 要 】

This work investigates the application of zero-frequency resonator (ZFR) for detecting systolic peaks of photoplethysmogram (PPG) signals. Based on the authors’ studies, they propose an automated noise-robust method, which consists of the central difference operation, the ZFR, the mean subtraction and averaging, the peak determination, and the peak rejection/acceptance rule. The method is evaluated using different kinds of PPG signals taken from the standard MIT-BIH polysomnographic database and Complex Systems Laboratory database and the recorded PPG signals at their Biomedical System Lab. The method achieves an average sensitivity (Se) of 99.95%, positive predictivity (Pp) of 99.89%, and overall accuracy (OA) of 99.84% on a total number of 116,673 true peaks. Evaluation results further demonstrate the robustness of the ZFR-based method for noisy PPG signals with a signal-to-noise ratio (SNR) ranging from 30 to 5 dB. The method achieves an average Se = 99.76%, Pp = 99.84%, and OA = 99.60% for noisy PPG signals with a SNR of 5 dB. Various results show that the method yields better detection rates for both noise-free and noisy PPG signals. The method is simple and reliable as compared with the complexity of signal processing techniques and detection performance of the existing detection methods.

【 授权许可】

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