Decoding arm and hand movements across layers of the macaque frontal cortices

Yan T. Wong, Mariana Vigeral, David Putrino, David Pfau, Josh Merel, Liam Paninski, Bijan Pesaran

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

2 Citations (Scopus)

Abstract

A major goal for brain machine interfaces is to allow patients to control prosthetic devices with high degrees of independent movements. Such devices like robotic arms and hands require this high dimensionality of control to restore the full range of actions exhibited in natural movement. Current BMI strategies fall well short of this goal allowing the control of only a few degrees of freedom at a time. In this paper we present work towards the decoding of 27 joint angles from the shoulder, arm and hand as subjects perform reach and grasp movements. We also extend previous work in examining and optimizing the recording depth of electrodes to maximize the movement information that can be extracted from recorded neural signals.

Original languageEnglish
Title of host publication2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1757-1760
Number of pages4
ISBN (Print)9781424441198
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2012 - Hilton San Diego Bayfront, San Diego, United States of America
Duration: 28 Aug 20121 Sep 2012
Conference number: 34th

Conference

ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2012
Abbreviated titleEMBC 2012
CountryUnited States of America
CitySan Diego
Period28/08/121/09/12

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