Detection of low back muscle state based on electrical impedance myography-Reference-Cited by-同舟云学术

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Detection of low back muscle state based on electrical impedance myography

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)
language:
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Author:

Shi Jingting¹,Liu Yanyan²,Yan Hongli¹,Gao Yueming¹,Vasic Zeljka Lucev³,Cifrek Mario³

Affiliation:

1. Fuzhou University,The College of Physics and Information Engineering,Fuzhou,China

2. Fuzhou University,Fujian province Key Lab. of medical Instrument and Pharmaceutical technology,Fuzhou,China

3. University of Zagreb,The Faculty of Electrical Engineering and Computing,Zagreb,Croatia

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9790088/9790091/09790108.pdf?arnumber=9790108

Reference13 articles.

1. Analysis of Electrical Impedance Myography Electrodes Configuration for Local Muscle Fatigue Evaluation Based on Finite Element Method

2. Optimization of the electrode configuration of electrical impedance myography for wearable application

3. Real-Time Forecasting of sEMG Features for Trunk Muscle Fatigue Using Machine Learning

4. Electrical impedance myography: Background, current state, and future directions

5. Do Muscle Characteristics on Lumbar Spine Magnetic Resonance Imaging or Computed Tomography Predict Future Low Back Pain, Physical Function, or Performance? A Systematic Review

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. Low Back Muscle Fatigue Monitoring Using Proprietary Electrical Impedance Myography System;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19

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