Key result
The top three algorithm scores for robust detection of heart beats on the hidden test data set were 93.64%, 91.50%, and 90.70%.
Population
A public training database of 151,032 annotated beats and a hidden test dataset of 152,478 beats from…
Design
Editorial
Authors
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The PhysioNet/CinC Challenge 2014 successfully facilitated the development of robust algorithms for multimodal heartbeat detection, achieving top performance scores over 90%.
The PhysioNet/CinC Challenge 2014 successfully facilitated the development of robust algorithms for multimodal heartbeat detection, achieving top performance scores over 90%.
Silva et al. (2015) conducted an editorial in Heart beat detection in multi-channel recordings. Algorithms for locating heart beats was evaluated on Scoring criteria based on averaging gross sensitivity, gross positive predictivity, average sensitivity, and average positive predictivity. The top three algorithm scores for robust detection of heart beats on the hidden test data set were 93.64%, 91.50%, and 90.70%.
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