Suppression of Motion Artifacts in Multichannel Mechanomyography Using Multivariate Empirical Mode Decomposition-Reference-Cited by-同舟云学术

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Suppression of Motion Artifacts in Multichannel Mechanomyography Using Multivariate Empirical Mode Decomposition

Published:2019-07-15 Issue:14 Volume:19 Page:5732-5739
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Wang Daqing^ORCID,Wu Haifeng,Xie Chenlei,Gao Lifu

Funder

Chinese Academy of Sciences

Natural Science Foundation of Anhui Province

Key Laboratory of Biomimetic Sensing and Advanced Robot Technology, Anhui, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/8741107/08669864.pdf?arnumber=8669864

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2. Series Arc Fault Detection under Vibration Condition Based on N-M-M-B;Sensors;2024-02-01

3. Mechanomyographic Analysis for Muscle Activity Assessment during a Load-Lifting Task;Sensors;2023-09-19

4. sEMG-Upper Limb Interaction Force Estimation Framework Based on Residual Network and Bidirectional Long Short-Term Memory Network;Applied Sciences;2022-08-29

5. A Novel Motion Noise Suppression Method for SQUID Sensor Based on VME;IEEE Sensors Journal;2021-12-15

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