This chapter focuses on the most common form of feedback in physical rehabilitation: surface electromyograph (sEMG) biofeedback. It provides an overview of technical considerations and guidelines for the use of sEMG biofeedback and reviews some of its most common clinical applications. The principle of sEMG biofeedback is to provide the subject with enhanced information about muscle activity. The most common goals are muscle relaxation, reduction of excessive and/or inappropriate muscle activation, or the learning or re learning of muscle control. The chapter considers some of the technical considerations when applying and interpreting sEMG biofeedback. It summarizes the use of sEMG biofeedback for various clinical conditions. Recent technological advances and discoveries in the field of motor control and learning prompted new solutions for sEMG biofeedback applications, possibly leading to more effective training.

Surface EMG Biofeedback / Gallina, A.; Gazzoni, Marco; Falla, D.; Merletti, Roberto - In: Surface Electromyography: Physiology, Engineering and ApplicationsSTAMPA. - [s.l] : Wiley-IEEE Press, 2016. - ISBN 978-1-118-98702-5. - pp. 485-500 [10.1002/9781119082934.ch18]

Surface EMG Biofeedback

GAZZONI, MARCO;MERLETTI, Roberto
2016

Abstract

This chapter focuses on the most common form of feedback in physical rehabilitation: surface electromyograph (sEMG) biofeedback. It provides an overview of technical considerations and guidelines for the use of sEMG biofeedback and reviews some of its most common clinical applications. The principle of sEMG biofeedback is to provide the subject with enhanced information about muscle activity. The most common goals are muscle relaxation, reduction of excessive and/or inappropriate muscle activation, or the learning or re learning of muscle control. The chapter considers some of the technical considerations when applying and interpreting sEMG biofeedback. It summarizes the use of sEMG biofeedback for various clinical conditions. Recent technological advances and discoveries in the field of motor control and learning prompted new solutions for sEMG biofeedback applications, possibly leading to more effective training.
2016
978-1-118-98702-5
Surface Electromyography: Physiology, Engineering and Applications
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2650597
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