Open AccessStraightforward and robust QRS detection algorithm for wearable cardiac monitor
Author(s) -
Manikandan M. Sabarimalai,
Ramkumar Barathram
Publication year - 2014
Publication title -
healthcare technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 19
ISSN - 2053-3713
DOI - 10.1049/htl.2013.0019
Subject(s) - qrs complex , computer science , detector , sensitivity (control systems) , algorithm , filter (signal processing) , interference (communication) , pattern recognition (psychology) , artificial intelligence , gaussian , electronic engineering , medicine , computer vision , physics , telecommunications , cardiology , engineering , channel (broadcasting) , quantum mechanics
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.