A bidirectional peripheral neural interface for restoring sensorimotor function of non-human primates

Peng Zhang, Xuan Ma, Jiping He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Upper limb loss is a big disaster and markedly affects the quality of life. Bidirectional peripheral neural interface (PNI) is a feasible way to restore the sensorimotor functions of amputees. Bidirectional interface includes motor commands decoding and sensory feedback restoring. In this paper, we presented two neurobehavioral platforms for studying bidirectional PNI in the monkey. In the first platform, the monkey was guided to do reaching and grasping tasks meanwhile cortical and peripheral neural signals were recorded, motor commands can be decoded. In the other platform, the monkey was guided to express tactile sensation into motor action; sensory feedback restoring can be seen from the action of the monkey. We designed a bidirectional PNI and tried to achieve it, many substantial challenges still remains.

Original languageEnglish (US)
Title of host publicationProceedings of 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016
EditorsBing Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages420-423
Number of pages4
ISBN (Electronic)9781467391924
DOIs
StatePublished - Sep 2 2016
Externally publishedYes
Event2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016 - Chongqing, China
Duration: May 20 2016May 22 2016

Publication series

NameProceedings of 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016

Conference

Conference2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016
Country/TerritoryChina
CityChongqing
Period5/20/165/22/16

Keywords

  • bidirectional peripheral neural interface
  • monkey
  • motor commands decoding
  • sensory feedback restoring

ASJC Scopus subject areas

  • General Computer Science
  • Control and Systems Engineering

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