xECGNet: Fine-tuning attention map within convolutional neural network to improve detection and explainability of concurrent cardiac arrhythmias

•Attention fine-tuning improves multilabel classification and explainability of CNN.•This is achieved by simply adding an L2-norm to the objective function.•Subset accuracy is proposed as a new criterion of multilabel ECG classification.•xECGNet achieves state-of-the-art multilabel subset accuracy o...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2021-09, Vol.208, p.106281-106281, Article 106281
Hauptverfasser:	Yoo, Jungsun, Jun, Tae Joon, Kim, Young-Hak
Format:	Artikel
Sprache:	eng
Schlagworte:	Cardiac arrhythmia Convolutional neural network ECG Explainable AI Medical AI Multilabel classification
Online-Zugang:	Volltext
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