Integration Design of Portable ECG Signal Acquisition With Deep-Learning Based Electrode Motion Artifact Removal on an Embedded System-Reference-Cited by-同舟云学术

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Integration Design of Portable ECG Signal Acquisition With Deep-Learning Based Electrode Motion Artifact Removal on an Embedded System

Published:2022 Issue: Volume:10 Page:57555-57564
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Jhang Yu-Syuan¹,Wang Szu-Ting²,Sheu Ming-Hwa¹,Wang Szu-Hong¹^ORCID,Lai Shin-Chi³^ORCID

Affiliation:

1. Department of Electronics Engineering, National Yunlin University of Science and Technology, Douliu, Taiwan

2. Doctor’s Program of Smart Industry Technology Research and Design, National Formosa University, Huwei, Taiwan

3. Department of Automation Engineering, National Formosa University, Huwei, Taiwan

Funder

Ministry of Science and Technology, Taiwan

Smart Machinery and Intelligent Manufacturing Research Center

Higher Education SPROUT Project, National Formosa University

Ministry of Education (MOE) Female Researching Talent Cultivation Project for Science, Technology, Engineering, and Mathematics (STEM) field

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09784947.pdf?arnumber=9784947

Reference30 articles.

1. Measurement of noise in ECG signals to improve automatic delineation;galeotti;Proc Comput Cardiol,2013

2. Accurate Removal of Baseline Wander in ECG Using Empirical Mode Decomposition

3. ECG noise reduction using empirical mode decomposition based on combination of instantaneous half period and soft-thresholding

4. Wavelet based ECG signal de-noising

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2. Low-Power Embedded ECG Acquisition System for Real-Time Monitoring and Analysis;2024 IEEE World AI IoT Congress (AIIoT);2024-05-29

3. Vector-to-Vector Mapping with Stacked Gated Recurrent Units for Biosignal Enhancement;Circuits, Systems, and Signal Processing;2024-04-09

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