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Mohagheghian et al., 2024 - Google Patents

Atrial fibrillation detection on reconstructed photoplethysmography signals collected from a smartwatch using a denoising autoencoder

Mohagheghian et al., 2024

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Document ID
2760350427050280090
Author
Mohagheghian F
Han D
Ghetia O
Chen D
Peitzsch A
Nishita N
Ding E
Otabil E
Noorishirazi K
Hamel A
Dickson E
DiMezza D
Tran K
McManus D
Chon K
Publication year
Publication venue
Expert Systems with Applications

External Links

Snippet

Photoplethysmography (PPG) signals collected by wearables have been shown to be effective in accurate detection of atrial fibrillation (AF), provided that the data are devoid of motion and noise artifacts (MNA). Many studies have been previously conducted to detect …
Continue reading at papers.ssrn.com (PDF) (other versions)

Classifications

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    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402Electrocardiography, i.e. ECG
    • A61B5/0452Detecting specific parameters of the electrocardiograph cycle
    • A61B5/046Detecting fibrillation
    • GPHYSICS
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    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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