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

Other

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

Fingerprint

Brain-Computer Interfaces
Prosthetics
Joints
Electrophysiology
Brain
Upper Extremity
Electric current control
Equipment and Supplies
Decoding
Research

ASJC Scopus subject areas

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

Cite this

Wong, Y. T., Hagan, M. A., Markowitz, D. A., & Pesaran, B. (2011). The tracking of reaches in three-dimensions. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 5440-5443). [6091388] https://doi.org/10.1109/IEMBS.2011.6091388

The tracking of reaches in three-dimensions. / Wong, Yan T.; Hagan, Maureen A.; Markowitz, David A.; Pesaran, Bijan.

33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 5440-5443 6091388.

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

Wong, YT, Hagan, MA, Markowitz, DA & Pesaran, B 2011, The tracking of reaches in three-dimensions. in 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011., 6091388, pp. 5440-5443, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 8/30/11. https://doi.org/10.1109/IEMBS.2011.6091388
Wong YT, Hagan MA, Markowitz DA, Pesaran B. The tracking of reaches in three-dimensions. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 5440-5443. 6091388 https://doi.org/10.1109/IEMBS.2011.6091388
Wong, Yan T. ; Hagan, Maureen A. ; Markowitz, David A. ; Pesaran, Bijan. / The tracking of reaches in three-dimensions. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. pp. 5440-5443
@inproceedings{141020292c62496298556a55deeb4d91,
title = "The tracking of reaches in three-dimensions",
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.",
author = "Wong, {Yan T.} and Hagan, {Maureen A.} and Markowitz, {David A.} and Bijan Pesaran",
year = "2011",
doi = "10.1109/IEMBS.2011.6091388",
language = "English (US)",
isbn = "9781424441211",
pages = "5440--5443",
booktitle = "33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011",

}

TY - GEN

T1 - The tracking of reaches in three-dimensions

AU - Wong, Yan T.

AU - Hagan, Maureen A.

AU - Markowitz, David A.

AU - Pesaran, Bijan

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84055184117&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84055184117&partnerID=8YFLogxK

U2 - 10.1109/IEMBS.2011.6091388

DO - 10.1109/IEMBS.2011.6091388

M3 - Conference contribution

SN - 9781424441211

SP - 5440

EP - 5443

BT - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011

ER -