Lightweight Denoising Autoencoder Design for Noise Removal in Electrocardiography

Lightweight Denoising Autoencoder Design for Noise Removal in Electrocardiography

This study proposes two denoising autoencoder models with discrete cosine transform and discrete wavelet transform, to remove electrode motion artifacts in noisy electrocardiography. Initially, the discrete cosine transform and discrete wavelet transform efficiently removed the high-frequency noise....

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Bibliographic Details
Main Authors: Ming-Hwa Sheu, Yu-Syuan Jhang, Yen-Ching Chang, Szu-Ting Wang, Chuan-Yu Chang, Shin-Chi Lai
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Artificial neural networks
biomedical computing
biomedical signal processing
discrete cosine transforms
deep learning
discrete wavelet transforms
Online Access:https://ieeexplore.ieee.org/document/9889721/

Internet

https://ieeexplore.ieee.org/document/9889721/

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