首页|Towards hand grip force assessment by using EMG estimators

Towards hand grip force assessment by using EMG estimators

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? 2024 Elsevier LtdThe purpose of this study was to propose a method to assess individual regression (calibration) curves to establish a relationship between an isometric grip force and surface electromyography (EMG) estimator. In this study 18 healthy volunteers (12 male (23.0 ± 2.0 years) and 6 female (23.2 ± 0.7 years)) had been examined. Ten EMG estimators (mean absolute value, root mean square, entropy, energy, turns per second, mean of zero crossings, median power frequency, mean power frequency, and Hilbert transforms), two EMG locations (brachioradialis and flexor digitorum superficialis) and five types of regression curves (linear, exponential, power, logarithm, and quadratic polynomial) have been tested. Using a quadratic polynomial regression curve and energy EMG estimator of the flexor digitorum superficialis muscle, it was obtained the lowest dispersity of EMG estimator and the most accurate prediction of grip isometric force among all tested EMG estimators.

EMGEstimatorGrip forceSignal processingVariation coefficient

Baranski R.、Wojnicz W.、Zagrodny B.、Ludwicki M.、Sobierajska-Rek A.

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AGH University of Science and Technology Faculty of Mechanical Engineering and Robotics

Gdansk University of Technology Faculty of Mechanical Engineering and Ship Technology

?ód? University of Technology Faculty of Mechanical Engineering Department of Automation Biomechanics and Mechatronics

Department of Rehabilitation Medicine Faculty of Health Sciences with Institute of Maritime and Tropical Medicine Medical University of Gdansk

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2024

Measurement

Measurement

ISSN:0263-2241
年,卷(期):2024.226
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