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Robotic Hand-Assisted Training for Spinal Cord Injury Driven by Myoelectric Pattern Recognition - A Case Report

LU Z; TONG KY; SHIN H; STAMPAS A; ZHOU P
AM J PHYS MED REHABIL , 2017, vol. 96, n° 10 Suppl 1, p. S146-S149
Doc n°: 184631
Localisation : Documentation IRR

D.O.I. : http://dx.doi.org/DOI:10.1097/PHM.0000000000000798
Descripteurs : AE21 - ORIGINE TRAUMATIQUE, VF - ROBOTIQUE, EC154 - PROTHESE FONCTIONNELLE - MEMBRE SUPERIEUR

A 51-year-old man with an incomplete C6 spinal cord injury sustained 26 yrs ago
attended twenty 2-hr visits over 10 wks for robot-assisted hand training driven
by myoelectric pattern recognition. In each visit, his right hand was assisted to
perform motions by an exoskeleton robot, while the robot was triggered by his own
motion intentions. The hand robot was designed for this study, which can perform
six kinds of motions, including hand closing/opening; thumb, index finger, and
middle finger closing/opening; and middle, ring, and little fingers
closing/opening. After the training, his grip force increased from 13.5 to 19.6
kg, his pinch force remained the same (5.0 kg), his score of Box and Block test
increased from 32 to 39, and his score from the Graded Redefined Assessment of
Strength, Sensibility, and Prehension test Part 4.B increased from 22 to 24. He
accomplished the tasks in the Graded Redefined Assessment of Strength,
Sensibility, and Prehension test Part 4.B 28.8% faster on average. The results
demonstrate the feasibility and effectiveness of robot-assisted training driven
by myoelectric pattern recognition after spinal cord injury.

Langue : ANGLAIS

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