ECGVEDNET: A Variational Encoder-Decoder Network for ECG Delineation in Morphology Variant ECGs

Electrocardiogram (ECG) delineation to identify the fiducial points of ECG segments, plays an important role in cardiovascular diagnosis and care. Whilst deep delineation frameworks have been deployed within the literature, several factors still hinder their development: (a) data availability: the c...

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Vydáno v:	IEEE transactions on biomedical engineering Ročník 71; číslo 7; s. 2143 - 2153
Hlavní autoři:	Chen, Long, Jiang, Zheheng, Barker, Joseph, Zhou, Huiyu, Schlindwein, Fernando, Nicolson, Will, Ng, G. Andre, Li, Xin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.07.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Accuracy Algorithms Annotations Availability Biomedical engineering Computational modeling Databases, Factual Datasets Deep Learning Delineation ECG delineation EKG Electrocardiography Electrocardiography - methods Encoders-Decoders fiducial points detection Humans Knowledge management Morphology Performance degradation Signal processing algorithms Signal Processing, Computer-Assisted Source code Transfer learning Variation variational encoder-decoder
ISSN:	0018-9294, 1558-2531, 1558-2531
On-line přístup:	Získat plný text
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