Analysis of Electrical Impedance Myography Electrodes Configuration for Local Muscle Fatigue Evaluation Based on Finite Element Method
Local muscle fatigue (LMF) is a common physiological phenomenon that occurs in daily exercise training and medical rehabilitation. Without timely treatment it can easily lead to muscle spasm, ligament rupture, and even stress fractures. Electrical impedance myography (EIM) is a noninvasive bioelectr...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9200606/ |
_version_ | 1831808081389944832 |
---|---|
author | Dongming Li Linnan Huang Yangrong Wen Yueming Gao Zeljka Lucev Vasic Mario Cifrek Min Du |
author_facet | Dongming Li Linnan Huang Yangrong Wen Yueming Gao Zeljka Lucev Vasic Mario Cifrek Min Du |
author_sort | Dongming Li |
collection | DOAJ |
description | Local muscle fatigue (LMF) is a common physiological phenomenon that occurs in daily exercise training and medical rehabilitation. Without timely treatment it can easily lead to muscle spasm, ligament rupture, and even stress fractures. Electrical impedance myography (EIM) is a noninvasive bioelectrical impedance technique suitable for the wearable LMF monitoring anytime and anywhere. In this paper, a novel EIM electrode configuration was proposed by establishing a four-layer simulation model of the human upper arm in FEM software. Sensitivity parameters were introduced to optimize muscle selectivity. The effect of fat thickness on impedance change rate was explored to reduce the influence of individual fat differences on EIM results. Dynamic and static contraction experiments of muscle fatigue were performed on the biceps brachii muscles of 10 volunteers to verify the effectiveness and feasibility of the proposed electrode configuration. The proposed electrode configuration reduced the measurement area by 25%, whereas the impedance amplitude and sensitivity remained the same. The influence of individual fat differences on EIM results was significantly reduced. When the fat thickness increased from 6 mm to 18 mm, the impedance change decreased by 31.78% compared with the traditional electrode configuration. When the muscles were extremely exhausted, the decrease in resistance varied around 10 Ω and within 10<sup>-1</sup> order of magnitude in different volunteers. In a word, the proposed electrode configuration effectively evaluated the degree of LMF, providing more feasibility for the design of wearable devices. |
first_indexed | 2024-12-22T20:16:41Z |
format | Article |
id | doaj.art-d5d1dcc3fd884d63aa915d4062d71545 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-22T20:16:41Z |
publishDate | 2020-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-d5d1dcc3fd884d63aa915d4062d715452022-12-21T18:13:57ZengIEEEIEEE Access2169-35362020-01-01817223317224310.1109/ACCESS.2020.30251509200606Analysis of Electrical Impedance Myography Electrodes Configuration for Local Muscle Fatigue Evaluation Based on Finite Element MethodDongming Li0https://orcid.org/0000-0001-9102-1787Linnan Huang1https://orcid.org/0000-0002-2838-1891Yangrong Wen2https://orcid.org/0000-0001-7366-0585Yueming Gao3https://orcid.org/0000-0002-0197-6043Zeljka Lucev Vasic4https://orcid.org/0000-0003-2858-4629Mario Cifrek5https://orcid.org/0000-0002-7554-0824Min Du6https://orcid.org/0000-0002-1954-3473College of Physics and Information Engineering, Fuzhou University, Fuzhou, ChinaCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, ChinaCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, ChinaCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, ChinaFaculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, CroatiaFaculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, CroatiaCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, ChinaLocal muscle fatigue (LMF) is a common physiological phenomenon that occurs in daily exercise training and medical rehabilitation. Without timely treatment it can easily lead to muscle spasm, ligament rupture, and even stress fractures. Electrical impedance myography (EIM) is a noninvasive bioelectrical impedance technique suitable for the wearable LMF monitoring anytime and anywhere. In this paper, a novel EIM electrode configuration was proposed by establishing a four-layer simulation model of the human upper arm in FEM software. Sensitivity parameters were introduced to optimize muscle selectivity. The effect of fat thickness on impedance change rate was explored to reduce the influence of individual fat differences on EIM results. Dynamic and static contraction experiments of muscle fatigue were performed on the biceps brachii muscles of 10 volunteers to verify the effectiveness and feasibility of the proposed electrode configuration. The proposed electrode configuration reduced the measurement area by 25%, whereas the impedance amplitude and sensitivity remained the same. The influence of individual fat differences on EIM results was significantly reduced. When the fat thickness increased from 6 mm to 18 mm, the impedance change decreased by 31.78% compared with the traditional electrode configuration. When the muscles were extremely exhausted, the decrease in resistance varied around 10 Ω and within 10<sup>-1</sup> order of magnitude in different volunteers. In a word, the proposed electrode configuration effectively evaluated the degree of LMF, providing more feasibility for the design of wearable devices.https://ieeexplore.ieee.org/document/9200606/Electrical impedance myographylocal muscle fatigueoptimized electrode configurationsfinite element methodthe biceps brachii muscles |
spellingShingle | Dongming Li Linnan Huang Yangrong Wen Yueming Gao Zeljka Lucev Vasic Mario Cifrek Min Du Analysis of Electrical Impedance Myography Electrodes Configuration for Local Muscle Fatigue Evaluation Based on Finite Element Method IEEE Access Electrical impedance myography local muscle fatigue optimized electrode configurations finite element method the biceps brachii muscles |
title | Analysis of Electrical Impedance Myography Electrodes Configuration for Local Muscle Fatigue Evaluation Based on Finite Element Method |
title_full | Analysis of Electrical Impedance Myography Electrodes Configuration for Local Muscle Fatigue Evaluation Based on Finite Element Method |
title_fullStr | Analysis of Electrical Impedance Myography Electrodes Configuration for Local Muscle Fatigue Evaluation Based on Finite Element Method |
title_full_unstemmed | Analysis of Electrical Impedance Myography Electrodes Configuration for Local Muscle Fatigue Evaluation Based on Finite Element Method |
title_short | Analysis of Electrical Impedance Myography Electrodes Configuration for Local Muscle Fatigue Evaluation Based on Finite Element Method |
title_sort | analysis of electrical impedance myography electrodes configuration for local muscle fatigue evaluation based on finite element method |
topic | Electrical impedance myography local muscle fatigue optimized electrode configurations finite element method the biceps brachii muscles |
url | https://ieeexplore.ieee.org/document/9200606/ |
work_keys_str_mv | AT dongmingli analysisofelectricalimpedancemyographyelectrodesconfigurationforlocalmusclefatigueevaluationbasedonfiniteelementmethod AT linnanhuang analysisofelectricalimpedancemyographyelectrodesconfigurationforlocalmusclefatigueevaluationbasedonfiniteelementmethod AT yangrongwen analysisofelectricalimpedancemyographyelectrodesconfigurationforlocalmusclefatigueevaluationbasedonfiniteelementmethod AT yueminggao analysisofelectricalimpedancemyographyelectrodesconfigurationforlocalmusclefatigueevaluationbasedonfiniteelementmethod AT zeljkalucevvasic analysisofelectricalimpedancemyographyelectrodesconfigurationforlocalmusclefatigueevaluationbasedonfiniteelementmethod AT mariocifrek analysisofelectricalimpedancemyographyelectrodesconfigurationforlocalmusclefatigueevaluationbasedonfiniteelementmethod AT mindu analysisofelectricalimpedancemyographyelectrodesconfigurationforlocalmusclefatigueevaluationbasedonfiniteelementmethod |