Microneurography as a tool to develop decoding algorithms for peripheral neuro-controlled hand prostheses

Abstract Background The usability of dexterous hand prostheses is still hampered by the lack of natural and effective control strategies. A decoding strategy based on the processing of descending efferent neural signals recorded using peripheral neural interfaces could be a solution to such limitati...

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Autori principali: Francesco M. Petrini, Alberto Mazzoni, Jacopo Rigosa, Federica Giambattistelli, Giuseppe Granata, Beatrice Barra, Alessandra Pampaloni, Eugenio Guglielmelli, Loredana Zollo, Marco Capogrosso, Silvestro Micera, Stanisa Raspopovic
Natura: Artigo
Lingua:Inglês
Pubblicazione: BMC 2019-04-01
Serie:BioMedical Engineering OnLine
Soggetti:
Microneurography
Amputation
Neuroprosthetics
Motor control
Decoding
Accesso online:http://link.springer.com/article/10.1186/s12938-019-0659-9
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