Bimodal classification algorithm for atrial fibrillation detection from m-health ECG recordings
Bimodal classification algorithm for atrial fibrillation detection from m-health ECG recordings
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Publisher
United States: Elsevier Ltd
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Language
English
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Publisher
United States: Elsevier Ltd
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Scope and Contents
Contents
Atrial Fibrillation (AF) is the most common cardiac arrhythmia, presenting a significant independent risk factor for stroke and thromboembolism. With the emergence of m-Health devices, the importance of automatic detection of AF in an off-clinic setting is growing. This study demonstrates the performance of a bimodal classifier for distinguishing A...
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Full title
Bimodal classification algorithm for atrial fibrillation detection from m-health ECG recordings
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TN_cdi_proquest_miscellaneous_2155148153
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2155148153
Other Identifiers
ISSN
0010-4825
E-ISSN
1879-0534
DOI
10.1016/j.compbiomed.2018.11.016
