ECG_SegNet: An ECG delineation model based on the encoder-decoder structure

With the increasing usage of wearable electrocardiogram (ECG) monitoring devices, it is necessary to develop models and algorithms that can analyze the large amounts of ECG data obtained in real-time. Accurate ECG delineation is key to assisting cardiologists in diagnosing cardiac diseases. The main...

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Veröffentlicht in:	Computers in biology and medicine Jg. 145; S. 105445
Hauptverfasser:	Liang, Xiaohong, Li, Liping, Liu, Yuanyuan, Chen, Dan, Wang, Xinpei, Hu, Shunbo, Wang, Jikuo, Zhang, Huan, Sun, Chengfa, Liu, Changchun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.06.2022 Elsevier Limited
Schlagworte:	Algorithms Arrhythmias, Cardiac Bidirectional long short-term memory (BiLSTM) Cardiology Classification Coders Coronary artery disease Decoding Deep learning Delineation ECG delineation EKG Electrocardiogram (ECG) Electrocardiography Electrocardiography - methods Encoder-decoder structure Encoders-Decoders Feature extraction Heart diseases Humans Internal Medicine Long short-term memory Noise Other P waves Real time Reproducibility of Results Semantics Signal processing Signal Processing, Computer-Assisted Temporal variations Waveforms Wavelet transforms ECG delineation Bidirectional long short-term memory (BiLSTM) Electrocardiogram (ECG) Encoder-decoder structure
ISSN:	0010-4825, 1879-0534, 1879-0534
Online-Zugang:	Volltext
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