Enhancing the detection of atrial fibrillation from wearable sensors with neural style transfer and...
Enhancing the detection of atrial fibrillation from wearable sensors with neural style transfer and convolutional recurrent networks
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Publisher
United States: Elsevier Ltd
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Language
English
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United States: Elsevier Ltd
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AbstractElectrocardiograms (ECG) provide an effective, non-invasive approach for clinical diagnosis and monitoring treatment in patients with cardiac diseases including the most common cardiac arrhythmia, atrial fibrillation (AF). Portable ECG recording devices including Apple Watch and Kardia devices have been developed for AF detection. However,...
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Enhancing the detection of atrial fibrillation from wearable sensors with neural style transfer and convolutional recurrent networks
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TN_cdi_proquest_miscellaneous_2661955080
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2661955080
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ISSN
0010-4825
E-ISSN
1879-0534
DOI
10.1016/j.compbiomed.2022.105551
