The tracking of reaches in three-dimensions

Yan T. Wong, Maureen A. Hagan, David A. Markowitz, Bijan Pesaran

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

Abstract

Prosthetic devices to replace upper limb function have made great progress over the last decade. However, current control modalities for these prosthetics still have severe limitations in the degrees of freedom they offer patients. Brain machine interfaces offer the possibility to improve the functionality of prosthetics. Current research on brain machine interfaces is limited by our understanding of the neural representations for various movements. Few electrophysiology studies have examined the encoding of unconstrained multi-joint movements in neural signals. Here we present a system for the high-speed tracking of multiple joints in three dimensions while recording, optimizing and decoding neural signals.

Original languageEnglish
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages5440-5443
Number of pages4
ISBN (Print)9781424441211
DOIs
Publication statusPublished - 2011
Externally publishedYes
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2011 - Boston Marriott Copley Place Hotel, Boston, United States of America
Duration: 30 Aug 20113 Sep 2011
Conference number: 33rd

Conference

ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2011
Abbreviated titleEMBC 2011
CountryUnited States of America
CityBoston
Period30/08/113/09/11

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