High performance in brain-computer interface control of an avatar using the missing hand representation in long term amputees

Dana Doron, Moshe Koppel, Rafael Malach, Doron Friedman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The ability to allow subjects, including paralyzed patients, to perform a task using brain-computer interfaces has seen a rapid and growing success. Surprisingly, however, it is still not known how far such performance can be improved - especially in cases of long term amputation where both efferent and afferent functions are abolished and may lead to deterioration of the relevant brain representations. Here we used real-time fMRI to demonstrate a remarkably high performance of long term amputees in controlling a computer generated avatar using their missing hand. The missing limb BCI performance showed similar levels both when compared to the intact hand and to control participants.

Original languageEnglish
Title of host publication8th International IEEE EMBS Conference on Neural Engineering, NER 2017
PublisherIEEE Computer Society
Pages403-406
Number of pages4
ISBN (Electronic)9781538619162
DOIs
StatePublished - 10 Aug 2017
Event8th International IEEE EMBS Conference on Neural Engineering, NER 2017 - Shanghai, China
Duration: 25 May 201728 May 2017

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER

Conference

Conference8th International IEEE EMBS Conference on Neural Engineering, NER 2017
Country/TerritoryChina
CityShanghai
Period25/05/1728/05/17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Mechanical Engineering

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