Straightforward and robust QRS detection algorithm for wearable cardiac monitor

Healthcare Technology Letters

article

M. Sabarimalai Manikandan¹  Barathram Ramkumar¹ 

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

关键词: electrocardiography;    medical signal detection;    medical signal processing;    patient monitoring;    filtering theory;    Gaussian processes;    noisy conditions;    wide-QRS complexes;    standard MIT-BIH arrythmia database;    ECG signal;    R-peaks;    Gaussian derivative filter;    baseline drifts;    powerline interference;    ℓ1-sparsity filter;    wearable cardiac monitoring;    QRS detection algorithm;   

DOI  :  10.1049/htl.2013.0019

学科分类：肠胃与肝脏病学

来源: Wiley

【 摘 要 】

This Letter presents a fairly straightforward and robust QRS detector for wearable cardiac monitoring applications. The first stage of the QRS detector contains a powerful ℓ 1 -sparsity filter with overcomplete hybrid dictionaries for emphasising the QRS complexes and suppressing the baseline drifts, powerline interference and large P/T waves. The second stage is a simple peak-finding logic based on the Gaussian derivative filter for automatically finding locations of R-peaks in the ECG signal. Experiments on the standard MIT-BIH arrythmia database show that the method achieves an average sensitivity of 99.91% and positive predictivity of 99.92%. Unlike existing methods, the proposed method improves detection performance under small-QRS, wide-QRS complexes and noisy conditions without using the searchback algorithms.

【 授权许可】

CC BY|CC BY-ND|CC BY-NC|CC BY-NC-ND