Deep Adaptive Denoising Auto-Encoder Networks for ECG Noise Cancellation via Time-Frequency Domain-Reference-Cited by-同舟云学术

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Deep Adaptive Denoising Auto-Encoder Networks for ECG Noise Cancellation via Time-Frequency Domain

Published:2022-11-07 Issue: Volume: Page:
ISSN:
Container-title:2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
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Author:

Mohammadisrab Amir¹,Aghaomidi Poorya¹,Mazloum Jalil²,Akbarzadeh Mohammad Ali³,Orooji Mahdi⁴,Mokari Nader¹,Yanikomeroglu Halim⁵

Affiliation:

1. Tarbiat Modares University,Tehran,Iran

2. Shahid Sattari Aeronautical University of Science and Technology,Tehran,Iran

3. Shahid Beheshti University of Medical Sciences,Tehran,Iran

4. University of California Davis,Davis,CA,US

5. Carleton University,Department of Systems and Computer Engineering,Ottawa,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9979726/9979808/09980058.pdf?arnumber=9980058

Reference18 articles.

1. Using the Redundant Convolutional Encoder–Decoder to Denoise QRS Complexes in ECG Signals Recorded with an Armband Wearable Device

2. Localization of the complex spectrum: the S transform

3. Deep Learning-Based Stacked Denoising and Autoencoder for ECG Heartbeat Classification

4. DeepCEDNet: An Efficient Deep Convolutional Encoder-Decoder Networks for ECG Signal Enhancement

Cited by 1 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. RunDAE model: Running denoising autoencoder models for denoising ECG signals;Computers in Biology and Medicine;2023-11

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