Control of Prosthetic Hands via the Peripheral Nervous System

This paper intends to provide a critical review of the literature on the technological issues on control and sensorization of hand prostheses interfacing with the Peripheral Nervous System (i.e., PNS), and their experimental validation on amputees. The study opens with an in-depth analysis of contro...

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Bibliographic Details
Published in:	Frontiers in neuroscience Vol. 10; p. 116
Main Authors:	Ciancio, Anna Lisa, Cordella, Francesca, Barone, Roberto, Romeo, Rocco Antonio, Bellingegni, Alberto Dellacasa, Sacchetti, Rinaldo, Davalli, Angelo, Di Pino, Giovanni, Ranieri, Federico, Di Lazzaro, Vincenzo, Guglielmelli, Eugenio, Zollo, Loredana
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Research Foundation 08-04-2016 Frontiers Media S.A
Subjects:	Electrodes Electromyography Feedback grasping Interfaces Literature reviews Manipulation motion control Nervous system Neuroscience Pattern recognition PNS-based prosthetic hand Prostheses Prosthetics Sensory feedback Signal processing Signal transduction Skin Tactile perception Italy PNS-based prosthetic hand grasping motion control manipulation sensory feedback
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Summary:	This paper intends to provide a critical review of the literature on the technological issues on control and sensorization of hand prostheses interfacing with the Peripheral Nervous System (i.e., PNS), and their experimental validation on amputees. The study opens with an in-depth analysis of control solutions and sensorization features of research and commercially available prosthetic hands. Pros and cons of adopted technologies, signal processing techniques and motion control solutions are investigated. Special emphasis is then dedicated to the recent studies on the restoration of tactile perception in amputees through neural interfaces. The paper finally proposes a number of suggestions for designing the prosthetic system able to re-establish a bidirectional communication with the PNS and foster the prosthesis natural control.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 ObjectType-Article-1 ObjectType-Feature-2 Reviewed by: Sliman J. Bensmaia, University of Chicago, USA; Max Ortiz-Catalan, Chalmers University of Technology, Sweden Edited by: Nicholas Hatsopoulos, University of Chicago, USA This article was submitted to Neuroprosthetics, a section of the journal Frontiers in Neuroscience These authors have contributed equally to this work.
ISSN:	1662-4548 1662-453X 1662-453X
DOI:	10.3389/fnins.2016.00116