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Çınar et al., 2021 - Google Patents

Classification of normal sinus rhythm, abnormal arrhythmia and congestive heart failure ECG signals using LSTM and hybrid CNN-SVM deep neural networks

Çınar et al., 2021

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Document ID
5402786475550022314
Author
Çınar A
Tuncer S
Publication year
Publication venue
Computer methods in biomechanics and biomedical engineering

External Links

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Effective monitoring of heart patients according to heart signals can save a huge amount of life. In the last decade, the classification and prediction of heart diseases according to ECG signals has gained great importance for patients and doctors. In this paper, the deep …
Continue reading atwww.researchgate.net (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
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