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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Vydané v:	Knowledge-based systems Ročník 227; s. 107187
Hlavní autori:	Liu, Xinwen, Wang, Huan, Li, Zongjin, Qin, Lang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 05.09.2021 Elsevier Science Ltd
Predmet:	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
On-line prístup:	Získať plný text
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