Brachialis muscle activity can be assessed with surface electromyography

Staudenmann, Didier; Taube, Wolfgang

doi:10.1016/j.jelekin.2014.11.003

Cited by 25 publications

(19 citation statements)

References 20 publications

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“…Another confound that could have facilitated independent motor unit control is the presence of crosstalk from neighboring muscles in the recorded neuromuscular signals. Aside from the biceps brachii, the brachialis is the next most likely muscle to be recorded by our electrodes due to its proximity; however, while the biceps brachii is known to participate in both flexion and supination, the brachialis participates only in elbow flexion 20,31 . In order to assess our recordings for brachialis contamination, we computed the correlation of each channel’s iEMG to flexion and supination forces during periods in the isometric contraction task where these task-oriented contractions were tested separately ( Figure 7B ).…”

Section: Resultsmentioning

confidence: 99%

“…Mean correlations for all channel groups remained relatively high (> 0.7) across both flexion and supination. While spatial differences in correlations are expected even within the biceps brachii, channels primarily recording from the brachialis should display a marked drop in supination correlation during supinating contractions 35 . The high correlations for both flexion and supination suggest brachialis contamination in our recordings was minimal and that the recording grid was primarily placed over the biceps brachii.…”

Section: Confound Analysesmentioning

confidence: 94%

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A non-invasive brain-machine interface via independent control of individual motor units

Formento

Botros

2021

Preprint

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Brain-machine interfaces (BMIs) have the potential to restore independence in people with disabilities, yet a compromise between non-invasiveness and performance limits their translational relevance. Here, we demonstrate a high-performance BMI controlled by individual motor units non-invasively recorded from the biceps brachii. Through real-time auditory and visual neurofeedback of motor unit activity, 8 participants learned to skillfully and independently control three motor units in order to complete a two-dimensional center-out task, with marked improvements in control over 6 days of training. Concomitantly, dimensionality of the motor unit population increased significantly relative to naturalistic behaviors, largely violating recruitment orders displayed during stereotyped, isometric muscle contractions. Finally, participants' performance on a spelling task demonstrated translational potential of a motor unit BMI, exceeding performance across existing non-invasive BMIs. These results demonstrate a yet-unexplored level of flexibility of the peripheral sensorimotor system and show that this can be exploited to create novel non-invasive, high-performance BMIs.

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Section: Resultsmentioning

confidence: 99%

Section: Confound Analysesmentioning

confidence: 94%

A non-invasive brain-machine interface via independent control of individual motor units

Formento

Botros

2021

Preprint

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“…Deep muscles (or deep MUs of a superficial muscle) produce force but their sEMG contributions may be near or below the noise level. Techniques to detect such contributions using HDsEMG are being investigated to obtain a sort of “electromyographic tomography” ( 120 , 121 ). Figure 4 shows a large grid (128 contacts, 10 mm apart) displaying the regions of activity of the extensors of the fingers of the right hand.…”

Section: Surface Emg Applicationsmentioning

confidence: 99%

Surface EMG in Clinical Assessment and Neurorehabilitation: Barriers Limiting Its Use

et al. 2020

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This article addresses the potential clinical value of techniques based on surface electromyography (sEMG) in rehabilitation medicine with specific focus on neurorehabilitation. Applications in exercise and sport pathophysiology, in movement analysis, in ergonomics and occupational medicine, and in a number of related fields are also considered. The contrast between the extensive scientific literature in these fields and the limited clinical applications is discussed. The “barriers” between research findings and their application are very broad, and are longstanding, cultural, educational, and technical. Cultural barriers relate to the general acceptance and use of the concept of objective measurement in a clinical setting and its role in promoting Evidence Based Medicine. Wide differences between countries exist in appropriate training in the use of such quantitative measurements in general, and in electrical measurements in particular. These differences are manifest in training programs, in degrees granted, and in academic/research career opportunities. Educational barriers are related to the background in mathematics and physics for rehabilitation clinicians, leading to insufficient basic concepts of signal interpretation, as well as to the lack of a common language with rehabilitation engineers. Technical barriers are being overcome progressively, but progress is still impacted by the lack of user-friendly equipment, insufficient market demand, gadget-like devices, relatively high equipment price and a pervasive lack of interest by manufacturers. Despite the recommendations provided by the 20-year old EU project on “Surface EMG for Non-Invasive Assessment of Muscles (SENIAM),” real international standards are still missing and there is minimal international pressure for developing and applying such standards. The need for change in training and teaching is increasingly felt in the academic world, but is much less perceived in the health delivery system and clinical environments. The rapid technological progress in the fields of sensor and measurement technology (including sEMG), assistive devices, and robotic rehabilitation, has not been driven by clinical demands. Our assertion is that the most important and urgent interventions concern enhanced education, more effective technology transfer, and increased academic opportunities for physiotherapists, occupational therapists, and kinesiologists.

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“…Second, the present work did not assess EMG activation of the brachialis muscle. Even if it is still unclear whether its activity can be accurately assessed with surface electrodes at high levels of muscular contraction ( Staudenmann & Taube, 2015 ), its exclusion in the analysis of the three variants of curl has to be acknowledged as a limitation to the present study since this muscle is one of the main contributor during elbow flexion. Third, a different ROM was reported in the three exercises variants.…”

Section: Discussionmentioning

confidence: 99%

Differences in electromyographic activity of biceps brachii and brachioradialis while performing three variants of curl

Marcolin

Panizzolo

Petrone

et al. 2018

PeerJ

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BackgroundDumbbell curl (DC) and barbell curl in its two variants, straight (BC) or undulated bar (EZ) are typical exercises to train the elbow flexors. The aim of the study was to verify if the execution of these three variants could induce a selective electromyographic (EMG) activity of the biceps brachii (BB) and brachioradialis (BR).MethodsTwelve participants performed one set of ten repetitions at 65% of their 1-RM for each variant of curl. Pre-gelled electrodes were applied with an inter-electrode distance of 24 mm on BB and BR. An electrical goniometer was synchronously recorded with EMG signals to determine the concentric and eccentric phases of each variant of curl.ResultsWe detected higher activation profile of both BB (P < 0.05) and BR (P < 0.01) during the EZ compared to the DC. Higher levels of activation was found during the concentric phase for only the BR performed with an EZ compared to DC (P < 0.001) and performing BC compared to DC (P < 0.05). The eccentric phase showed a higher activation of the BB muscle in EZ compared to DC (P < 0.01) and in BC compared to DC (P < 0.05). The BR muscle showed a higher activation performing EZ compared to DC (P < 0.01).DiscussionThe EZ variant may be preferred over the DC variant as it enhances BB and BR EMG activity during the whole range of motion and only in the eccentric phase. The small difference between BC and EZ variants of the BB and BR EMG activity makes the choice between these two exercises a matter of subjective comfort.

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Brachialis muscle activity can be assessed with surface electromyography

Cited by 25 publications

References 20 publications

A non-invasive brain-machine interface via independent control of individual motor units

A non-invasive brain-machine interface via independent control of individual motor units

Surface EMG in Clinical Assessment and Neurorehabilitation: Barriers Limiting Its Use

Differences in electromyographic activity of biceps brachii and brachioradialis while performing three variants of curl

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