A Comparative Analysis of 2D Deep CNN Models for Arrhythmia Detection Using STFT-Based Long Duration ECG Spectrogram

Author:

Toma Tabassum Islam1,Choi Sunwoong1

Affiliation:

1. Kookmin University,Department of Electronics Engineering,Seoul,Korea,02707

Publisher

IEEE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Rotor fault characterization study by considering normalization analysis, feature extraction, and a multi-class classifier;Engineering Research Express;2024-04-05

2. BioU-Net: Diagnosis Network Based on Spectral Feature Enhancement for Myocardial Infarction;Lecture Notes in Computer Science;2024

3. Lightweight Optimization of Deep Learning Models for Accurate Arrhythmia Detection in Clinical 12-Lead ECG Data;IEEE Transactions on Instrumentation and Measurement;2024

4. Application of Convolutional Neural Network in Feature Signal Recognition;2023 5th International Conference on Electronics and Communication, Network and Computer Technology (ECNCT);2023-08-18

5. Cardiac Arrhythmia Analysis using Spectrogram and Deep Learning;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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