Intracranial detection of movement-related potentials for operation of a direct brain interface

Simon P. Levine, Jane E. Huggins, Spencer L. BeMent, Lori A. Schuh, Ramesh K. Kushwaha, Donald A. Ross, Mitchell M. Rohde

Research output: Contribution to journalConference articlepeer-review

Abstract

A direct brain interface for control of assistive technologies is being developed based on intracranial detection of movement-related potentials. Subjects for this research are patients who have electrodes implanted for monitoring purposes prior to epilepsy surgery. Triggered averaging is used to create event-related potential (ERP) templates related to specific movements. These templates are then cross-correlated with the electrocorticogram (ECoG) to identify individual ERP's. Results from 7 subjects with varying electrode placements have yielded detection accuracies as high as 92%, 100%, and 89% with false-positive identifications of 2%, 4%, and 2% respectively.

Original languageEnglish (US)
Pages (from-to)512-513
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
StatePublished - Dec 1 1996
EventProceedings of the 1996 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 (of 5) - Amsterdam, Neth
Duration: Oct 31 1996Nov 3 1996

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Intracranial detection of movement-related potentials for operation of a direct brain interface'. Together they form a unique fingerprint.

Cite this