An Improved VIT Neural Network for Arrhythmia Classification Based on Wavelet Spectral Feature Extraction-Reference-Cited by-同舟云学术

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An Improved VIT Neural Network for Arrhythmia Classification Based on Wavelet Spectral Feature Extraction

Published:2023-10-27 Issue: Volume:36 Page:127-132
ISSN:
Container-title:2023 2nd International Conference on Health Big Data and Intelligent Healthcare (ICHIH)
language:
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Author:

Liu FeiFei¹,Zhang Jianwen¹,Wu Xinyu²,Feng Shuai¹

Affiliation:

1. Jiangxi University of Science and Technology,School of Mechanical and Electrical Engineering,Jiangxi University of Science and Technology,Gangzhou,Jiangxi,China

2. School of Mechanical and Electrical Engineering, name of organization, acronyms acceptable,Jiangxi University of Science and Technology,Gangzhou,Jiangxi,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10392283/10395940/10396089.pdf?arnumber=10396089

Reference15 articles.

1. An image is worth 16x16 words: Transformers for image recognition at scale[J];Dosovitskiy,2020

2. TTS-GAN: A Transformer-Based Time-Series Generative Adversarial Network

3. Ultra-Low Power QRS Detection and ECG Compression Architecture for IoT Healthcare Devices

4. One-pass training of optimal architecture auto-associative neural network for detecting ectopic beats

5. An MLP Neural Network for ECG Noise Removal Based on Kalman Filter

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