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 contribution

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 (US)
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages5440-5443
Number of pages4
DOIs
StatePublished - 2011
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: Aug 30 2011Sep 3 2011

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Country/TerritoryUnited States
CityBoston, MA
Period8/30/119/3/11

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Fingerprint

Dive into the research topics of 'The tracking of reaches in three-dimensions'. Together they form a unique fingerprint.

Cite this