A Dilated Residual Vision Transformer for Atrial Fibrillation Detection from Stacked Time-Frequency ECG Representations
Author:
Affiliation:
1. Indian Institute of Technology Kharagpur,Department of Electrical Engineering,Kharagpur,India,721302
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747258.pdf?arnumber=9747258
Reference29 articles.
1. Automated Atrial Fibrillation Detection Based on Feature Fusion Using Discriminant Canonical Correlation Analysis
2. Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation
3. Convolutional Recurrent Neural Networks for Electrocardiogram Classification
4. A new method to identify coronary artery disease with ECG signals and time-Frequency concentrated antisymmetric biorthogonal wavelet filter bank
5. Analysis of atrial and ventricular premature contractions using the Short Time Fourier Transform with the window size fixed in the frequency domain
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