Straightforward and robust QRS detection algorithm for wearable cardiac monitor

[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.

[学科分类] 肠胃与肝脏病学

[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