Electrocardiogram Feature Extraction
Electrocardiogram Feature Extraction is a computational methodology that identifies and isolates morphological and temporal characteristics from electrocardiographic signals to enable subsequent analysis, classification, or diagnosis of cardiac conditions.
3K
Publications
166.7K
Citations
8.3K
Authors
2.3K
Institutions
Publications per year
2017–2026
1.6K
Parents
3K
1–5 of 3K
8.3K
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16
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2.3K
Ngee Ann Polytechnic
Singapore, Singapore
45 h-index
166 publications
31K citations
Singapore University of Social Sciences
Singapore, Singapore
29 h-index
35 publications
6K citations
University of Malaya
Kuala Lumpur, Malaysia
27 h-index
46 publications
7.2K citations
National Heart Centre Singapore
Singapore, Singapore
22 h-index
24 publications
3.3K citations
Shandong University
Jinan, China
21 h-index
131 publications
6.2K citations
University of Oxford
Oxford, United Kingdom
20 h-index
84 publications
6.3K citations

Chinese Academy of Sciences
Beijing, China
19 h-index
69 publications
3.8K citations

Harbin Institute of Technology
Harbin, China
19 h-index
81 publications
5.8K citations
1–8 of 2.3K
73 publications · 17.6K citations
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103 publications · 6.6K citations
42
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69 publications · 5K citations
38
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52 publications · 4.2K citations
36
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57 publications · 5.4K citations
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