Explainable Artificial Intelligence Model for Diagnosis of Atrial Fibrillation Using Holter Electrocardiogram Waveforms

Atrial fibrillation is a clinically important arrhythmia. There are some reports on machine learning models for AF diagnosis using electrocardiogram data. However, few reports have proposed an eXplainable Artificial Intelligence (XAI) model to enable physicians to easily understand the machine learn...

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Veröffentlicht in:	International Heart Journal 2021/05/29, Vol.62(3), pp.534-539
Hauptverfasser:	Taniguchi, Hirohisa, Takata, Tomohiro, Takechi, Mineki, Furukawa, Asuka, Iwasawa, Jin, Kawamura, Akio, Taniguchi, Tadahiro, Tamura, Yuichi
Format:	Artikel
Sprache:	eng
Schlagworte:	Arrhythmia Artificial intelligence Cardiac arrhythmia Cardiology Convolutional neural network Diagnosis EKG Electrocardiography Fibrillation Gradient-weighted class activation mapping Holter monitoring Learning algorithms Machine larning Machine learning Neural networks
Online-Zugang:	Volltext
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