EEG-Based Control: Neurologic Mechanisms of Steady-State Self-Regulation.

Abstract

Neural self-regulation is key to successful application of EEG-based control for advanced interface technologies. In the EEG-based interface examined, the magnitude of the steady-state visual evoked response (SSVER) served as a control signal. The SSVER was identified and monitored using non-invasive scalp electrodes and advanced signal processing technology. With biofeedback, subjects learned to increase or decrease the magnitude of their SSVER to an evoking stimulus. These responses were translated into commands that controlled the operation of a physical device or computer program. The objective of this research was to identify some of the neurologic mechanisms involved with neural self-regulation. Using brain electroencephalographic (EEG) and evoked potential (EP) data, the character, timing and neuroanatomical significance of mental operations during task-related processes were examined.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1997
Accession Number
ADA328607

Entities

People

  • David Ingle
  • Grant R. Mcmillan
  • Matthew Middendorf
  • Ria L. Calhoun

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Biofeedback
  • Cognition
  • Computer Programs
  • Computers
  • Control Systems
  • Data Analysis
  • Electrophysiological Phenomena
  • Feedback
  • Human Factors Engineering
  • Information Processing
  • Neuroimaging
  • Neurology
  • Pilot Studies
  • Psychology
  • Steady State

Fields of Study

  • Psychology

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control