Wavelet-based ECG-derived Respiration Denoising-Reference-Cited by-同舟云学术

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Wavelet-based ECG-derived Respiration Denoising

Published:2022-12-27 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)
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Author:

Park Chanki¹,Nam Seungyoon²,Bautista John Lorenzo³,Shin Hyunsoon¹

Affiliation:

1. Electronics and Telecommunications Research Institute,CybreBrain Research Section, Future & Basic Technology, Research Division, ICT Creative Research Laboratory,Daejeon,Korea,34129

2. ICT, University of Science and Technology,Department of Computer Software,Daejeon,Korea,34113

3. University of Science and Technology,Department of Artificial Intelligence,Daejeon,Korea,34113

Funder

Ministry of Trade, Industry and Energy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10018924/10018967/10019162.pdf?arnumber=10019162

Reference11 articles.

1. Efficient wavelet-based artifact removal for electrodermal activity in real-world applications

2. Wavelet-based motion artifact removal for electrodermal activity

3. PhysioBank, PhysioToolkit, and PhysioNet

4. A Comparative Study of ECG-derived Respiration in Ambulatory Monitoring using the Single-lead ECG

5. Heart Rate Variability.

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