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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9399091/ |