Effect of innervation zones in estimating biceps brachii force–EMG relationship during isometric contraction

Rantalainen, Timo; Kłodowski, Adam; Piitulainen, Harri

doi:10.1016/j.jelekin.2011.09.012

Cited by 21 publications

(12 citation statements)

References 38 publications

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“…In the present study, we re-examined the EMG-elbow flexion torque relation in hemiparetic stroke subjects using a linear electrode array. We confirmed the importance of IZ location on EMG-force relations 27 . We also confirmed that the slope was greater on the impaired side in almost half of the subjects (4 out of 10 subjects) for the range of matched torques on both sides.…”

Section: Discussionsupporting

confidence: 78%

Re-evaluation of EMG-torque relation in chronic stroke using linear electrode array EMG recordings

Bhadane

Liu

Rymer

et al. 2016

Sci Rep

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The objective was to re-evaluate the controversial reports of EMG-torque relation between impaired and non-impaired sides using linear electrode array EMG recordings. Ten subjects with chronic stroke performed a series of submaximal isometric elbow flexion tasks. A 20-channel linear array was used to record surface EMG of the biceps brachii muscles from both impaired and non-impaired sides. M-wave recordings for bilateral biceps brachii muscles were also made. Distribution of the slope of the EMG-torque relations for the individual channels showed a quasi-symmetrical “M” shaped pattern. The lowest value corresponded to the innervation zone (IZ) location. The highest value from the slope curve for each side was selected for comparison to minimize the effect of electrode placement and IZ asymmetry. The slope was greater on the impaired side in 4 of 10 subjects. There were a weak correlation between slope ratio and strength ratio and a moderate to high correlation between slope ratio and M-wave ratio between two sides. These findings suggest that the EMG-torque relations are likely mediated and influenced by multiple factors. Our findings emphasize the importance of electrode placement and suggest the primary role of peripheral adaptive changes in the EMG-torque relations in chronic stroke.

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Section: Discussionsupporting

confidence: 78%

Re-evaluation of EMG-torque relation in chronic stroke using linear electrode array EMG recordings

Bhadane

Liu

Rymer

et al. 2016

Sci Rep

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“…For example, electrical stimulation effectively isolated the force-length relationships of the BB during isometric contraction when surface electrodes of 8 mm diameter were placed 20 mm apart longitudinally on the belly of the BB muscle [23]. In addition, it has been shown that the EMG signal caused by the innervations zone affects the consistency EMGforce relationship sub-maximal voluntary isometric contractions [17]. The results were determined under isometric (static) contraction with 20, 40, 60, 80, and 100% MVC [24].…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, the relationship between EMG and muscle activation remains unpredictable during contraction and at different locations on the muscle [16]. The authors found that the disruption of the physiological signal (EMG) caused by the innervations zones changed the reliability of the EMG-force relationship at a single bipolar channel level [17]. For example, Rantalainen et al examined the EMGforce/torque relationship from the BB muscle.…”

Section: Introductionmentioning

confidence: 99%

EMG-force relationship during static contraction: Effects on sensor placement locations on biceps brachii muscle

Ahamed

Sundaraj

Altwijri

et al. 2014

THC

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BACKGROUND: The relationship between surface electromyography (EMG) and force have been the subject of ongoing investigations and remain a subject of controversy. Even under static conditions, the relationships at different sensor placement locations in the biceps brachii (BB) muscle are complex. OBJECTIVE: The aim of this study was to compare the activity and relationship between surface EMG and static force from the BB muscle in terms of three sensor placement locations. METHODS: Twenty-one right hand dominant male subjects (age 25.3 ± 1.2 years) participated in the study. Surface EMG signals were detected from the subject's right BB muscle. The muscle activation during force was determined as the root mean square (RMS) electromyographic signal normalized to the peak RMS EMG signal of isometric contraction for 10 s. The statistical analysis included linear regression to examine the relationship between EMG amplitude and force of contraction [40-100% of maximal voluntary contraction (MVC)], repeated measures ANOVA to assess differences among the sensor placement locations, and coefficient of variation (CoV) for muscle activity variation. RESULTS: The results demonstrated that when the sensor was placed on the muscle belly, the linear slope coefficient was significantly greater for EMG versus force testing (r 2 = 0.62, P < 0.05) than when placed on the lower part (r 2 = 0.31, P > 0.05) and upper part of the muscle belly (r 2 = 0.29, P < 0.05). In addition, the EMG signal activity on the muscle belly had less variability than the upper and lower parts (8.55% vs. 15.12% and 12.86%, respectively). CONCLUSION: These findings indicate the importance of applying the surface EMG sensor at the appropriate locations that follow muscle fiber orientation of the BB muscle during static contraction. As a result, EMG signals of three different placements may help to understand the difference in the amplitude of the signals due to placement.

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“…For a Gaussian distributed amplitude, these indicators are given by RMS = and ARV = 2/ = RMS 2/ , where is the standard deviation of the distribution. ARV and RMS have been used in EMG-based force estimation [3][4][5][6], study of fatigue [7,8], muscle activity distribution [8,9], crosstalk studies [10,11], and many other applications.…”

Section: Introductionmentioning

confidence: 99%

Amplitude indicators and spatial aliasing in high density surface electromyography recordings

Afsharipour¹,

Ullah²,

Merletti³

2015

Biomedical Signal Processing and Control

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Effect of innervation zones in estimating biceps brachii force–EMG relationship during isometric contraction

Cited by 21 publications

References 38 publications

Re-evaluation of EMG-torque relation in chronic stroke using linear electrode array EMG recordings

Re-evaluation of EMG-torque relation in chronic stroke using linear electrode array EMG recordings

EMG-force relationship during static contraction: Effects on sensor placement locations on biceps brachii muscle

Amplitude indicators and spatial aliasing in high density surface electromyography recordings

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