Ecg Anomaly Detection
ECG Anomaly Detection is a computational method in biomedical signal processing that identifies deviations from normal cardiac electrophysiological patterns in electrocardiogram signals through systematic analysis of morphological and temporal features.
654
Publications
36.7K
Citations
2.4K
Authors
990
Institutions
Publications per year
2017–2026
412
Parents
654
Automatic diagnosis of the 12-lead ECG using a deep neural network
Nature Communications · 2020 · 785 citations · Full text
Antônio H. Ribeiro, Gabriela M. M. Paixão, Derick M. Oliveira et al. · RePEc: Research Papers in Economics · 2020 · 756 citations
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National Heart Centre Singapore
Singapore, Singapore
13 h-index
13 publications
2.3K citations
Ngee Ann Polytechnic
Singapore, Singapore
13 h-index
33 publications
7.3K citations
Singapore University of Social Sciences
Singapore, Singapore
10 h-index
11 publications
2.4K citations

Chinese Academy of Sciences
Beijing, China
10 h-index
29 publications
2.5K citations
National University of Singapore
Singapore, Singapore
10 h-index
17 publications
1.7K citations
Duke-NUS Medical School
Singapore, Singapore
9 h-index
9 publications
1.4K citations

Lund University
Lund, Sweden
9 h-index
25 publications
1.1K citations
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
15 publications
813 citations
1–8 of 990
45 publications · 2.6K citations
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31 publications · 4.1K citations
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20 publications · 2.1K citations
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18 publications · 1.3K citations
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15 publications · 1.2K citations
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