Deep learning in ECG diagnosis: A review

Cardiovascular disease (CVD) is a general term for a series of heart or blood vessels abnormality that serves as a global leading reason for death. The earlier the abnormal heart rhythm is discovered, the less severe the sequela and the faster the recovery. Electrocardiogram (ECG), as a main way to...

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Veröffentlicht in:	Knowledge-based systems Jg. 227; S. 107187
Hauptverfasser:	Liu, Xinwen, Wang, Huan, Li, Zongjin, Qin, Lang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 05.09.2021 Elsevier Science Ltd
Schlagworte:	Algorithms Artificial neural networks Belief networks Blood vessels Cardiovascular diseases Classification Coders Convolutional neural network Deep belief network Deep learning Diagnosis Electrocardiogram Electrocardiography Errors Experts Extraction Feature extraction Heart diseases Learning Machine learning Medical diagnosis Networks Neural networks Recurrent Recurrent neural network Recurrent neural networks Rhythm Stacked auto-encoders Ultrasonic imaging Deep learning Stacked auto-encoders Recurrent neural network Deep belief network Electrocardiogram Convolutional neural network
ISSN:	0950-7051, 1872-7409
Online-Zugang:	Volltext
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