Literature DB >> 11474969

A pilot study of myoelectrically controlled FES of upper extremity.

R Thorsen1, R Spadone, M Ferrarin.   

Abstract

Functional electrical stimulation (FES) of upper limbs can be used for the recovery of some hand functions on patients with CNS lesions. This study deals with the control of FES by means of myoelectrical activity detected from voluntarily activated paretic muscles. The specific aim of this paper is to evaluate the accuracy of myoelectrical control in terms of produced force and movement. For this purpose, a specific device called myoelectrical controlled functional electrical stimulator (MeCFES) has been developed and applied to six tetraplegic patients with a spinal cord lesion and one stroke hemiplegic patient. Residual myoelectric signals from the paretic wrist extensor (m. extensor carpi radialis, ECR) have been used to control stimulation of either the wrist extension (i.e., the same muscle) or thumb flexion. A tracking test based on a visual feedback of the produced force or movement compared to a reference target trajectory was used to quantify control accuracy. A comparison was made between the tracking performances of each subject with and without the MeCFES and the learning process for two of the subjects were observed during consecutive sessions. Results showed that the wrist extension was improved in three out of five C5 SCI patients and the thumb flexion was largely increased in one incomplete C3 SCI patient. The hemiplegic patient showed limited thumb control with the MeCFES but indicated the possibility of a carry over effect. It was found that a low residual natural force resulted in a less accurate movement but also with a large increase (up to ten times) of the muscle output. On the contrary, persons with a medium residual force obtained a smaller amplification of muscle force with a higher tracking accuracy.

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Year:  2001        PMID: 11474969     DOI: 10.1109/7333.928576

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  16 in total

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6.  Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges.

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8.  A noninvasive neuroprosthesis augments hand grasp force in individuals with cervical spinal cord injury: the functional and therapeutic effects.

Authors:  Rune Thorsen; Davide Dalla Costa; Sara Chiaramonte; Luca Binda; Ettore Beghi; Tiziana Redaelli; Eugenio Occhi; Maurizio Ferrarin
Journal:  ScientificWorldJournal       Date:  2013-12-30

9.  Corticomuscular coherence analysis on hand movement distinction for active rehabilitation.

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Review 10.  Motor imagery reinforces brain compensation of reach-to-grasp movement after cervical spinal cord injury.

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Journal:  Front Behav Neurosci       Date:  2015-09-11       Impact factor: 3.558

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