Stroke disease involves an increasing number of subjects due to the aging population. In clinical practice‚ the presence of widely accessible rehabilitative interventions to facilitate the patients’ motor recovery‚ especially in the early stages after injury when wider improvement can be gained‚ is crucial to reduce social and economical costs. The functional electrical stimulation (FES) has been investigated as a tool to promote locomotion ability in stroke patients. Particular attention was given to FES delivered during cycling‚ which is recognized as a safe and widely accessible way to provide a FES-based rehabilitative intervention in the most impaired subjects. In this chapter the neurophysiological basis of FES and its potential correlates to facilitate the long-term reorganization at both cortical and spinal level have been discussed. A discussion on clinical evidence and possible future direction is also proposed.

Functional electrical stimulation and its use during cycling for the rehabilitation of individuals with stroke

Peri, Elisabetta;Ferrante, Simona;Pedrocchi, Alessandra;
2018-01-01

Abstract

Stroke disease involves an increasing number of subjects due to the aging population. In clinical practice‚ the presence of widely accessible rehabilitative interventions to facilitate the patients’ motor recovery‚ especially in the early stages after injury when wider improvement can be gained‚ is crucial to reduce social and economical costs. The functional electrical stimulation (FES) has been investigated as a tool to promote locomotion ability in stroke patients. Particular attention was given to FES delivered during cycling‚ which is recognized as a safe and widely accessible way to provide a FES-based rehabilitative intervention in the most impaired subjects. In this chapter the neurophysiological basis of FES and its potential correlates to facilitate the long-term reorganization at both cortical and spinal level have been discussed. A discussion on clinical evidence and possible future direction is also proposed.
2018
Biosystems and Biorobotics
978-3-319-72735-6
978-3-319-72736-3
Artificial Intelligence; Biomedical Engineering; Mechanical Engineering
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1045073
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