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Restoring natural sensory feedback in real-time bidirectional hand prostheses.

Raspopovic, Stanisa and Capogrosso, Marco and Petrini, Francesco Maria and Bonizzato, Marco and Rigosa, Jacopo and Di Pino, Giovanni and Carpaneto, Jacopo and Controzzi, Marco and Boretius, Tim and Fernandez, Eduardo and Granata, Giuseppe and Oddo, Calogero Maria and Citi, Luca and Ciancio, Anna Lisa and Cipriani, Christian and Carrozza, Maria Chiara and Jensen, Winnie and Guglielmelli, Eugenio and Stieglitz, Thomas and Rossini, Paolo Maria and Micera, Silvestro (2014) 'Restoring natural sensory feedback in real-time bidirectional hand prostheses.' Science Translational Medicine, 6 (222). ISSN 1946-6234

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Abstract

Hand loss is a highly disabling event that markedly affects the quality of life. To achieve a close to natural replacement for the lost hand, the user should be provided with the rich sensations that we naturally perceive when grasping or manipulating an object. Ideal bidirectional hand prostheses should involve both a reliable decoding of the user's intentions and the delivery of nearly "natural" sensory feedback through remnant afferent pathways, simultaneously and in real time. However, current hand prostheses fail to achieve these requirements, particularly because they lack any sensory feedback. We show that by stimulating the median and ulnar nerve fascicles using transversal multichannel intrafascicular electrodes, according to the information provided by the artificial sensors from a hand prosthesis, physiologically appropriate (near-natural) sensory information can be provided to an amputee during the real-time decoding of different grasping tasks to control a dexterous hand prosthesis. This feedback enabled the participant to effectively modulate the grasping force of the prosthesis with no visual or auditory feedback. Three different force levels were distinguished and consistently used by the subject. The results also demonstrate that a high complexity of perception can be obtained, allowing the subject to identify the stiffness and shape of three different objects by exploiting different characteristics of the elicited sensations. This approach could improve the efficacy and "life-like" quality of hand prostheses, resulting in a keystone strategy for the near-natural replacement of missing hands.

Item Type: Article
Uncontrolled Keywords: Hand, Peripheral Nerves, Humans, Hand Strength, Electric Stimulation, Artificial Limbs, Computer Systems, Adult, Male, Feedback, Sensory
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 02 Dec 2014 16:26
Last Modified: 18 May 2020 13:15
URI: http://repository.essex.ac.uk/id/eprint/11951

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