An Interpretable Model for ECG Data Based on Bayesian Neural Networks

An Interpretable Model for ECG Data Based on Bayesian Neural Networks

Heart arrhythmia have been a life-threatening disease to human for a very long time, many techniques and methods have been developed by human experts since the advent of ECG machine, these approaches work well and most of the time patients with heart diseases can be diagnosed accurately, and yet not...

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Bibliographic Details
Main Authors: Qiao Hua, Ye Yaqin, Bo Wan, Bo Chen, Yingqiang Zhong, Jiao Pan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Artificial neural networks
Bayesian inference
Bayesian neural networks (BNNs)
biomedical computing
ECG classification
Online Access:https://ieeexplore.ieee.org/document/9399091/

Internet

https://ieeexplore.ieee.org/document/9399091/

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