Electrode Placement in Surface Electromyography (sEMG) ”Minimal Crosstalk Area“ (MCA)

Blanc, Y.; Dimanico, Ugo

doi:10.2174/1874943701003010110

Cited by 70 publications

(48 citation statements)

References 4 publications

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“…The examined side was randomly chosen in order to avoid a possible effect of hemispheric dominance. Surface preamplified electrodes with fixed interelectrode distance (TSD150B, Biopac Systems Inc, USA) were placed over the muscle belly of biceps and triceps brachii following current guidelines (Hermens and Roessingh Research and Development BV 1999;Blanc and Dimanico 2010). The distance between the electrodes placed on biceps and triceps muscles was maximized in order to reduce cross-talk.…”

Section: Movement Evaluation With Electromyographic Recordingsmentioning

confidence: 99%

Electromyographic assessment of paratonia

et al. 2016

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Many years after its initial description, paratonia remains a poorly understood concept. It is described as the inability to relax muscles during muscle tone assessment with the subject involuntary facilitating or opposing the examiner. Although related to cognitive impairment and frontal lobe function, the underlying mechanisms have not been clarified. Moreover, criteria to distinguish oppositional paratonia from parkinsonian rigidity or spasticity are not yet available.Paratonia is very frequently encountered in clinical practice and only semi-quantitative rating scales are available. The purpose of this study is to assess the feasibility of a quantitative measure of paratonia using surface electromyography. Paratonia was elicited by performing consecutive metronome-synchronized continuous and discontinuous elbow movements in a group of paratonic patients with cognitive impairment. Goniometric and electromyographic recordings were performed on biceps and triceps brachii muscles. Facilitatory (mitgehen) and oppositional (gegenhalten) paratonia could be recorded on both muscles. After normalization with voluntary maximal contraction, biceps showed higher paratonia than triceps. Facilitatory paratonia was higher than oppositional on the biceps. Movement repetition induced increased paratonic burst amplitude only when flexion and extension movements were performed continuously. Both facilitatory and oppositional paratonia increased with movement repetition. Only oppositional paratonia increased following faster movements. This is the first study providing a quantitative and objective characterization of paratonia using electromyography. Unlike parkinsonian rigidity, oppositional paratonia increases with velocity and with consecutive movement repetition. Like spasticity, oppositional paratonia is velocity-dependent, but different from spasticity, it increases during movement repetition instead of decreasing. A quantitative measure of paratonia could help better understanding its pathophysiology and could be used for research purposes on cognitive impairment.

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Section: Movement Evaluation With Electromyographic Recordingsmentioning

confidence: 99%

Electromyographic assessment of paratonia

et al. 2016

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“…It is attached to the elbow region of the arm. This is because this region is predominantly bone which tends to act as more electrically neutral than regions of the body with muscular tissue [8]. To reduce the noise introduced by crosstalk, Minimum Crosstalk Area (MCA) is defined.…”

Section: A Placement Of Electrodesmentioning

confidence: 99%

“…To reduce the noise introduced by crosstalk, Minimum Crosstalk Area (MCA) is defined. It is the surface that has been defined by Basmajian & Blumenstein where crosstalk versus co-contraction is minimum [8]…”

Section: A Placement Of Electrodesmentioning

confidence: 99%

Bio Potential Signal Conditioning using MATLAB on Electromyography Signals

2019

IJRTE

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 Abstract: In today's world of medicine, technology plays a major role in creating solutions. Conventionally expensive equipment has been used for diagnosis involving bio signals. Such treatment is not available to most people. Most existing bio signal conditioning devices are very specific to their application, and others that are diverse require a large number of different sensors and are more expensive and cumbersome to use. There is a need for a signal conditioning circuit that is adaptable, employs digital processing and can be used to measure any of the different bio signals generated by our body with minimal modification. Use of MATLAB can greatly help researchers to analyse bio signals by giving them huge flexibility. MATLAB also has the added advantage of being able to be used on nearly all computing devices. Raw bio signal data has been captured and MATLAB has been used to mimic the various filters required to remove different types of noises that exist in a typical electromyography signal.

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“…The electromyographic survey might allow evaluating, in a non-invasive, gesture-specific and inexpensive way, functional neuromuscular problems characterized by high level of motor and postural engagement that can typically be difficult to evaluate for occupational physician especially regarding the consequences on the ability to work [21]. Despite these potential applications, protocols for the identification and classification of the various dysfunctions of the paravertebral muscles identified by means of this technique are still lacking.…”

Section: Introductionmentioning

confidence: 99%

Neuromuscular Functional Assessment in Low Back Pain by Surface Electromyography (SEMG)

Coppeta¹,

Gentili²,

Mugnaini³

et al. 2019

TOPHJ

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Background: Low back pain is a major occupational health issue and a leading cause of disability globally. Significant differences in Surface Electromyography (SEMG) have been reported between persons with Low Back Pain (LBP) and normal, healthy controls. Many studies reveal that when the trunk is in full flexion there is an electrical silence in back muscles referred to as “flexion-relaxation phenomenon.” It is often absent in individuals reporting LBP and particularly chronic LBP. There are several SEMG measures that describe this phenomenon. Objective: To evaluate muscle activity in acute and chronic LBP and the usefulness of quick and reliable procedures to demonstrate abnormal electromyographic activity of the spine erector muscles. Methods: We evaluated 40 subjects aged 25-65 years. For each participant, a clinical history regarding the presence of chronic or acute LBP was collected. Each subject was evaluated with SEMG measures of spine erector muscles during standing and prone position (for acute LBP), and flex-extension movement (for chronic LBP subjects). Superficial potential was recorded and compared between groups. Results: In all three procedures, differences were identified in the surface electromyographic activity between the healthy controls and the one affected by LBP. Conclusion: The study of normal and pathologic electromyographic patterns could be a valid means to support in an objective way the presence/absence of acute and chronic LBP.

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Electrode Placement in Surface Electromyography (sEMG) ”Minimal Crosstalk Area“ (MCA)

Cited by 70 publications

References 4 publications

Electromyographic assessment of paratonia

Electromyographic assessment of paratonia

Bio Potential Signal Conditioning using MATLAB on Electromyography Signals

Neuromuscular Functional Assessment in Low Back Pain by Surface Electromyography (SEMG)

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