%0 Electronic Article %A M. Sabarimalai Manikandan %+ School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, Odisha-751013, India %A Barathram Ramkumar %+ School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, Odisha-751013, India %K powerline interference %K wide-QRS complexes %K wearable cardiac monitoring %K ℓ1-sparsity filter %K standard MIT-BIH arrythmia database %K noisy conditions %K QRS detection algorithm %K R-peaks %K Gaussian derivative filter %K baseline drifts %K ECG signal %X 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. %T Straightforward and robust QRS detection algorithm for wearable cardiac monitor %B Healthcare Technology Letters %D March 2014 %V 1 %N 1 %P 40-44 %I Institution of Engineering and Technology %U https://digital-library.theiet.org/;jsessionid=3o3iodd4qpxr2.x-iet-live-01content/journals/10.1049/htl.2013.0019 %G EN