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Simulated feedforward neural network coordination of hand grasp and wrist angle in a neuroprosthesis
ADAMCZYK MM; CRAGO PE
IEEE TRANS REHABIL ENG , 2000, vol. 8, n° 3, p. 297-304 Doc n°: 97423 Localisation : Documentation IRR Descripteurs : DD82 - EXPLORATION EXAMENS BILANS - MAIN-DOIGTS This study presents a possible solution of the general problem of coordinating muscle stimulation in a neuroprosthesis when multiarticular muscles introduce mechanical coupling between joints. In a hand-grasp neuroprosthesis, extrinsic hand muscles cross the wrist joint and introduce large wrist flexion momens during grasp. In order to control hand grasp and wrist angle independently, a controller must take the mechanical coupling into account. In simulation, we investigated the use of artificial neural networks to coordinate hand and wrist muscle stimulation. Langue : ANGLAIS Tiré à part : OUI Identifiant basis : 2000213348 |
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