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Tyagi et al., 2022 - Google Patents

A review of automated diagnosis of ECG arrhythmia using deep learning methods

Tyagi et al., 2022

Document ID
2710350982027905871
Author
Tyagi P
Rathore N
Parashar D
Agrawal D
Publication year
Publication venue
AI-Enabled Smart Healthcare Using Biomedical Signals

External Links

Snippet

Arrhythmia is a medical condition in which the heart's normal pumping process becomes irregular. Early identification of arrhythmia is one of the essential phases in diagnosing the disorder. However, due to the relatively low amplitudes, visually assessing the …
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Classifications

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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402—Electrocardiography, i.e. ECG
    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
    • A61B5/046—Detecting fibrillation
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