Sensitivity distribution simulations of surface electrode configurations for electrical impedance myography

Rutkove, Seward B.; Pacheck, Adam; Sanchez, Benjamin

doi:10.1002/mus.25561

Cited by 28 publications

(34 citation statements)

References 32 publications

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“…For the placement of the electrodes, we had to consider that in deep injuries (near the bone), the current electrodes should be placed with a greater separation than in superficial injuries to increase the depth of the current's penetration. These considerations are in agreement with those reported by Sanchez et al (2016) and more recently by Rutkove et al (2017). The positioning of the electrodes for L-BIA is crucial in correctly assessing muscle injury and following recovery until the RTP because inconsistent electrode positioning can influence the measurement.…”

Section: L-biasupporting

confidence: 90%

Detection of muscle gap by L-BIA in muscle injuries: clinical prognosis

et al. 2017

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Section: L-biasupporting

confidence: 90%

Detection of muscle gap by L-BIA in muscle injuries: clinical prognosis

et al. 2017

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“…In injuries located near the bone detector, voltage electrodes were placed 10 cm proximally and 10 cm distally, respectively, from the center of the injury to increase the sensitivity of the measurement (Sanchez et al, 2016;Rutkove et al, 2017).…”

Section: Localized Bioimpedance Measurements (L-bia)mentioning

confidence: 99%

Differentiation Between Tendinous, Myotendinous and Myofascial Injuries by L-BIA in Professional Football Players

et al. 2020

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Purpose: To differentiate by localized bioimpedance (L-BIA) measurements 24 h after injury, between tendinous, myotendinous junction (MTJ), and myofascial junction (MFJ) injuries, previously diagnosed by MRI exam. To evaluate by L-BIA, the severity of MTJ injuries graded from 1 to 3, and to determine the relationship between days to return to play (RTP) and L-BIA measurements. Methods: 3T MRI and tetra polar L-BIA was used to analyzed 37 muscle injuries 24 h after injury in 32 male professional football players, (23.5 ± 1.5 kg m −2 ; 1.8 ± 0.1 m; 20-30 year.) between the 2016-2017 and 2017-2018 seasons. Muscle injuries were classified by The British Athletics Muscle Injury Classification (BAMIC). Percentage difference of L-BIA parameters [resistance (R), reactance (Xc), and phase angle (PA)] of the injured side were calculated considering contralateral non-injured side as the reference value. Results: According to BAMIC classification and by MRI exam, we found tendinous (n = 4), MTJ (n = 26), and MFJ (n = 7) muscle injuries. In addition, MTJ injuries were grouped according to the severity of injury in grade 1 (n = 11), grade 2 (n = 8), and grade 3 (n = 7). Significant decrease (P < 0.01) was found in the L-BIA parameters R, Xc, and PA, in both MTJ and MFJ as well as in the different grades of MTJ injuries. In particular, in Xc (P < 0.001), which is related to muscle cell disruption. Regarding days to RTP, there was statistical significance among the three different grades of MTJ injuries (P < 0.001), especially when grade 1 was compared to grade 3 and grade 2 compared to 3. Conclusion: L-BIA is a complementary method to imaging diagnostic techniques, such as MRI and US, to quantify MTJ and MFJ injuries. In addition, the increase in the severity of the MTJ injury resulted in higher changes of the Xc parameter and longer time to RTP.

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“…In a previous study [7] it was suggested that proper electrode configuration can reduce the influence of subcutaneous fat thickness, muscle size, and conductivity on EIM impedance value. In another study [8] it was found that the contribution of muscle layer to surface EIM value varies greatly depending on electrode configurations and fat thickness values. However, the existing research is limited to the surface EIM (sEIM) [9], whose impedance value is derived from the contribution of countless tiny areas, such as fat, skin, and bone.…”

Section: Introductionmentioning

confidence: 97%

“…However, the existing research is limited to the surface EIM (sEIM) [9], whose impedance value is derived from the contribution of countless tiny areas, such as fat, skin, and bone. Therefore, scientists have introduced finite element modeling (FEM) or finite difference time domain method (FTDT) to perform a "sensitivity" analysis on human tissues or organs to determine the impedance values of all conductive tissues inside to select the optimal configuration mode of surface electrodes to improve the selectivity and sensitivity to the target area [10]. Seward Rutkove introduce model component analysis (MCA)to separate the impedivity of subcutaneous fat and muscle tissues from sEIM data [11].…”

Section: Introductionmentioning

confidence: 99%

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

Huang

Wen

et al. 2020

IEEE Access

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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 10-1 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. INDEX TERMS Electrical impedance myography, local muscle fatigue, optimized electrode configurations, finite element method, the biceps brachii muscles.

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Sensitivity distribution simulations of surface electrode configurations for electrical impedance myography

Cited by 28 publications

References 32 publications

Detection of muscle gap by L-BIA in muscle injuries: clinical prognosis

Detection of muscle gap by L-BIA in muscle injuries: clinical prognosis

Differentiation Between Tendinous, Myotendinous and Myofascial Injuries by L-BIA in Professional Football Players

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

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