Decoding of grasping information from neural signals recorded using peripheral intrafascicular interfaces

<p>Abstract</p> <p>Background</p> <p>The restoration of complex hand functions by creating a novel bidirectional link between the nervous system and a dexterous hand prosthesis is currently pursued by several research groups. This connection must be fast, intuitive, wit...

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Main Authors: Cipriani Christian, Tombini Mario, Raspopovic Stanisa, Carpaneto Jacopo, Citi Luca, Rigosa Jacopo, Rossini Paolo M, Micera Silvestro, Assenza Giovanni, Carrozza Maria C, Hoffmann Klaus-Peter, Yoshida Ken, Navarro Xavier, Dario Paolo
Format: Article
Language:English
Published: BMC 2011-09-01
Series:Journal of NeuroEngineering and Rehabilitation
Online Access:http://www.jneuroengrehab.com/content/8/1/53
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author Cipriani Christian
Tombini Mario
Raspopovic Stanisa
Carpaneto Jacopo
Citi Luca
Rigosa Jacopo
Rossini Paolo M
Micera Silvestro
Assenza Giovanni
Carrozza Maria C
Hoffmann Klaus-Peter
Yoshida Ken
Navarro Xavier
Dario Paolo
author_facet Cipriani Christian
Tombini Mario
Raspopovic Stanisa
Carpaneto Jacopo
Citi Luca
Rigosa Jacopo
Rossini Paolo M
Micera Silvestro
Assenza Giovanni
Carrozza Maria C
Hoffmann Klaus-Peter
Yoshida Ken
Navarro Xavier
Dario Paolo
author_sort Cipriani Christian
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>The restoration of complex hand functions by creating a novel bidirectional link between the nervous system and a dexterous hand prosthesis is currently pursued by several research groups. This connection must be fast, intuitive, with a high success rate and quite natural to allow an effective bidirectional flow of information between the user's nervous system and the smart artificial device. This goal can be achieved with several approaches and among them, the use of implantable interfaces connected with the peripheral nervous system, namely intrafascicular electrodes, is considered particularly interesting.</p> <p>Methods</p> <p>Thin-film longitudinal intra-fascicular electrodes were implanted in the median and ulnar nerves of an amputee's stump during a four-week trial. The possibility of decoding motor commands suitable to control a dexterous hand prosthesis was investigated for the first time in this research field by implementing a spike sorting and classification algorithm.</p> <p>Results</p> <p>The results showed that motor information (e.g., grip types and single finger movements) could be extracted with classification accuracy around 85% (for three classes plus rest) and that the user could improve his ability to govern motor commands over time as shown by the improved discrimination ability of our classification algorithm.</p> <p>Conclusions</p> <p>These results open up new and promising possibilities for the development of a neuro-controlled hand prosthesis.</p>
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spelling doaj.art-15c1dd9d943a4497895c98b41d89b68f2022-12-21T20:55:21ZengBMCJournal of NeuroEngineering and Rehabilitation1743-00032011-09-01815310.1186/1743-0003-8-53Decoding of grasping information from neural signals recorded using peripheral intrafascicular interfacesCipriani ChristianTombini MarioRaspopovic StanisaCarpaneto JacopoCiti LucaRigosa JacopoRossini Paolo MMicera SilvestroAssenza GiovanniCarrozza Maria CHoffmann Klaus-PeterYoshida KenNavarro XavierDario Paolo<p>Abstract</p> <p>Background</p> <p>The restoration of complex hand functions by creating a novel bidirectional link between the nervous system and a dexterous hand prosthesis is currently pursued by several research groups. This connection must be fast, intuitive, with a high success rate and quite natural to allow an effective bidirectional flow of information between the user's nervous system and the smart artificial device. This goal can be achieved with several approaches and among them, the use of implantable interfaces connected with the peripheral nervous system, namely intrafascicular electrodes, is considered particularly interesting.</p> <p>Methods</p> <p>Thin-film longitudinal intra-fascicular electrodes were implanted in the median and ulnar nerves of an amputee's stump during a four-week trial. The possibility of decoding motor commands suitable to control a dexterous hand prosthesis was investigated for the first time in this research field by implementing a spike sorting and classification algorithm.</p> <p>Results</p> <p>The results showed that motor information (e.g., grip types and single finger movements) could be extracted with classification accuracy around 85% (for three classes plus rest) and that the user could improve his ability to govern motor commands over time as shown by the improved discrimination ability of our classification algorithm.</p> <p>Conclusions</p> <p>These results open up new and promising possibilities for the development of a neuro-controlled hand prosthesis.</p>http://www.jneuroengrehab.com/content/8/1/53
spellingShingle Cipriani Christian
Tombini Mario
Raspopovic Stanisa
Carpaneto Jacopo
Citi Luca
Rigosa Jacopo
Rossini Paolo M
Micera Silvestro
Assenza Giovanni
Carrozza Maria C
Hoffmann Klaus-Peter
Yoshida Ken
Navarro Xavier
Dario Paolo
Decoding of grasping information from neural signals recorded using peripheral intrafascicular interfaces
Journal of NeuroEngineering and Rehabilitation
title Decoding of grasping information from neural signals recorded using peripheral intrafascicular interfaces
title_full Decoding of grasping information from neural signals recorded using peripheral intrafascicular interfaces
title_fullStr Decoding of grasping information from neural signals recorded using peripheral intrafascicular interfaces
title_full_unstemmed Decoding of grasping information from neural signals recorded using peripheral intrafascicular interfaces
title_short Decoding of grasping information from neural signals recorded using peripheral intrafascicular interfaces
title_sort decoding of grasping information from neural signals recorded using peripheral intrafascicular interfaces
url http://www.jneuroengrehab.com/content/8/1/53
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