Techniques for Information Extraction from the Surface EMG Signalhigh‐Density Surface EMG

Merletti, Roberto; Vieira, Taian; Farina, Dario

doi:10.1002/9781119082934.ch05

Cited by 34 publications

(41 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Inferences on the degree and timing of excitation are not supported by EMGs detected locally from large, pennated muscles. Reproduced from Merletti et al ( 2016 ), with permission. (B) Raw sEMG detected with pairs of electrodes from different locations along medial gastrocnemius.…”

Section: What Conclusion Can Be Drawn From Semg Smentioning

confidence: 99%

Interpreting Signal Amplitudes in Surface Electromyography Studies in Sport and Rehabilitation Sciences

Vigotsky

Halperin²,

Lehman³

et al. 2018

Front. Physiol.

335

253

View full text Add to dashboard Cite

Surface electromyography (sEMG) is a popular research tool in sport and rehabilitation sciences. Common study designs include the comparison of sEMG amplitudes collected from different muscles as participants perform various exercises and techniques under different loads. Based on such comparisons, researchers attempt to draw conclusions concerning the neuro- and electrophysiological underpinning of force production and hypothesize about possible longitudinal adaptations, such as strength and hypertrophy. However, such conclusions are frequently unsubstantiated and unwarranted. Hence, the goal of this review is to discuss what can and cannot be inferred from comparative research designs as it pertains to both the acute and longitudinal outcomes. General methodological recommendations are made, gaps in the literature are identified, and lines for future research to help improve the applicability of sEMG are suggested.

show abstract

Section: What Conclusion Can Be Drawn From Semg Smentioning

confidence: 99%

Interpreting Signal Amplitudes in Surface Electromyography Studies in Sport and Rehabilitation Sciences

Vigotsky

Halperin²,

Lehman³

et al. 2018

Front. Physiol.

335

253

View full text Add to dashboard Cite

show abstract

“…What matters is the relative arrangement between fibers and the skin surface occupied by electrodes. This led us to define two specific categories of muscle regions: skin-parallel fibered and in-depth pinnate muscle regions (31). In the former case, fibers and skin reside in parallel planes.…”

Section: Emg Imaging Provides a More Accurate Assessment Of Muscle Excitation Than Single Bipolar Emgsmentioning

confidence: 99%

The Accurate Assessment of Muscle Excitation Requires the Detection of Multiple Surface Electromyograms

Vieira

Botter

2020

Exercise and Sport Sciences Reviews

View full text Add to dashboard Cite

When sampling electromyograms (EMGs) with one pair of electrodes, it seems implicitly assumed the detected signal reflects the net muscle excitation. However, this assumption is discredited by observations of local muscle excitation. Therefore, we hypothesize that the accurate assessment of muscle excitation requires multiple EMG detection and consideration of electrode-fiber alignment. We advise prudence when drawing inferences from individually collected EMGs.

show abstract

“…Recommendations for EMG measurements, processing (34)(35)(36) and interpretation (37) have been provided. As a result of advances in multielectrode sEMG [high-density sEMG (HD-sEMG)] recording techniques, further possibilities have emerged, both for research and for clinical applications (38)(39)(40)(41).…”

Section: Comment On Diagnostic Utility Of Techniques Based On Bioelecmentioning

confidence: 99%

“…Important aspects of the development of sEMG technology are multielectrode (HD-sEMG) recording techniques. Although these techniques have been available for some time already (38)(39)(40)(41), they are still rather avant-garde, and have not, to our knowledge, achieved widespread application as yet, however, they offer remarkable new possibilities. One direction is to explore, by mathematical analysis of measured signals, the functioning of particular MU in a muscle, thus providing a potential complement to the needle electrode detection technique and advancing neurological diagnostics.…”

Section: Future Prospectsmentioning

confidence: 99%

Critical Appraisal of Surface Electromyography (sEMG) as a Taught Subject and Clinical Tool in Medicine and Kinesiology

Medved

Kováč³

2020

Front. Neurol.

View full text Add to dashboard Cite

The characteristics and state of knowledge of bioelectric signals such as ECG, EEG, and EMG are initially discussed. This serves as the basis for exploration of the degree of scholastic coverage and understanding of the level of clinical acceptance of respective bioelectric signal subtypes during the last 60 or so years. The review further proceeds to discuss surface EMG (sEMG). The status of the field in terms of teaching and academic training related to sEMG is examined, and its clinical acceptance in several areas of medicine and kinesiology, including neurology, psychology, psychiatry, physiatry, physical medicine and rehabilitation, biomechanics and motor control, and gnathology, is evaluated. A realistic overview of the clinical utility of the measurement of sEMG signals and their interpretation and usage, as well as of perspectives on its development, are then provided. The main focus is on the state of the field in Croatia. EMG signals are viewed as "windows" into the function of the neuro-muscular system, a complex and hierarchically organized system that controls human body posture and gross body movement. New technical and technological means to enable the detection and measurement of these signals will contribute to increased clinical acceptance, provided current scientific, educational, and financial obstacles can be removed.

show abstract

Techniques for Information Extraction from the Surface EMG Signalhigh‐Density Surface EMG

Cited by 34 publications

References 64 publications

Interpreting Signal Amplitudes in Surface Electromyography Studies in Sport and Rehabilitation Sciences

Interpreting Signal Amplitudes in Surface Electromyography Studies in Sport and Rehabilitation Sciences

The Accurate Assessment of Muscle Excitation Requires the Detection of Multiple Surface Electromyograms

Critical Appraisal of Surface Electromyography (sEMG) as a Taught Subject and Clinical Tool in Medicine and Kinesiology

Contact Info

Product

Resources

About