Denoising of ECG with single and multiple hidden layer autoencoders
Author:
Affiliation:
1. IBMT, Fac. LSE, Technische Hochschule Mittelhessen (THM) - Univ. Appl. Sci., Gießen , Germany
2. Department of Biomedical Engineering, University of Duhok, Duhok , Kurdistan Region - Iraq
Publisher
Walter de Gruyter GmbH
Subject
Biomedical Engineering
Link
https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1166/pdf
Cited by 6 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. Cleaning ECG with Deep Learning: A Denoiser Tested in Industrial Settings;SN Computer Science;2024-07-03
2. Deep Learning Autoencoder Study on ECG Signals;Jurnal Nasional Teknik Elektro;2023-12-27
3. RunDAE model: Running denoising autoencoder models for denoising ECG signals;Computers in Biology and Medicine;2023-11
4. Convolutional block attention autoencoder for denoising electrocardiograms;Biomedical Signal Processing and Control;2023-09
5. Cleaning ECG with Deep Learning: A Denoiser Based on Gated Recurrent Units;Technological Innovation for Connected Cyber Physical Spaces;2023
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