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On the control of a robot hand by extracting neural signals from the PNS: Preliminary results from a human implantation

Micera, S and Rigosa, J and Carpaneto, J and Citi, L and Raspopovic, S and Guglielmelli, E and Benvenuto, A and Rossini, L and Di Pino, G and Cavallo, G and Carrozza, MC and Cipriani, C and Hoffmann, KP and Dario, P and Rossini, PM (2009) 'On the control of a robot hand by extracting neural signals from the PNS: Preliminary results from a human implantation.' 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009. pp. 4586-4589. ISSN 1557-170X

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Abstract

The development of hybrid neuroprosthetic systems (HBSs) linking the human nervous system with artificial devices is an important area of research that is currently addressed by several groups to restore sensorimotor function in people affected by different disabilities. It is particularly important to establish a fast, intuitive, bidirectional flow of information between the nervous system of the user and the smart robotic device. Among the possible solutions to achieve this goal, interfaces with the peripheral nervous system and in particular intraneural electrodes can represent an interesting choice. In the present study, thin-film longitudinal intra-fascicular electrodes were implanted in the median and ulnar nerves of an amputee. The possibility of restoring the bidirectional link between the subject and the external world was investigated during a 4 week trial. The result showed that both the extraction of motor information and the restoration of sensory function are possible. ©2009 IEEE.

Item Type: Article
Uncontrolled Keywords: Peripheral Nervous System; Median Nerve; Ulnar Nerve; Humans; Electrodiagnosis; Artificial Limbs; Man-Machine Systems; Evoked Potentials, Motor; Robotics; Algorithms; Signal Processing, Computer-Assisted; Amputees
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 26 Mar 2014 17:00
Last Modified: 23 Sep 2022 18:26
URI: http://repository.essex.ac.uk/id/eprint/8814

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