title: Straightforward and robust QRS detection algorithm for wearable cardiac monitor.
abstract: 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 ℓ1-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.
authors.affiliation: School of Electrical Sciences , Indian Institute of Technology Bhubaneswar , Bhubaneswar , Odisha-751013 , India.
authors.forename: M Sabarimalai
authors.initials: MS
authors.lastname: Manikandan
authors.affiliation: School of Electrical Sciences , Indian Institute of Technology Bhubaneswar , Bhubaneswar , Odisha-751013 , India.
authors.forename: Barathram
authors.initials: B
authors.lastname: Ramkumar
keywords: ECG signal; Gaussian derivative filter; Gaussian processes; QRS detection algorithm; R-peaks; baseline drifts; electrocardiography; filtering theory; medical signal detection; medical signal processing; noisy conditions; patient monitoring; powerline interference; standard MIT-BIH arrythmia database; wearable cardiac monitoring; wide-QRS complexes; ℓ1-sparsity filter