IM-ECG: An interpretable framework for arrhythmia detection using multi-lead ECG

Author:

Tao Rui,Wang Lin,Xiong Yingnan,Zeng Yu-RongORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference44 articles.

1. Automatically Detecting Arrhythmia-related Irregular Patterns using the Temporal and Spectro-Temporal Textures of ECG Signals;Abdeldayem,2018

2. An explainable algorithm for detecting drug-induced QT-prolongation at risk of torsades de pointes (TdP) regardless of heart rate and T-wave morphology;Alahmadi;Computers in Biology and Medicine,2021

3. Ancona, M., Ceolini, E., Öztireli, C., & Gross, M. (2018). Towards better understanding of gradient-based attribution methods for Deep Neural Networks (arXiv:1711.06104). arXiv. http://arxiv.org/abs/1711.06104.

4. Reducing false alarms in the ICU by quantifying self-similarity of multimodal biosignals;Antink;Physiological Measurement,2016

5. FM-ECG: A fine-grained multi-label framework for ECG image classification;Du;Information Sciences,2021

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