Nonsurgical Brain Activity Recovery From a Cap Containing Multiple Electroencephalogram Recording Sites

Abstract

The goal of this project is to invert electroencephalogram data to brain activity using a novel and accurate algorithm. This algorithm can be used for research and development of brain-machine interfaces, potentially to include prosthetic control, surveillance and lie detection. This report details the mathematical and physical theory behind the algorithm developed during this effort. The algorithm is novel in that it does not use the quasistatic approximation throughout the space, instead using it only at the boundaries between material media. The output of the algorithm consists of three-dimensional currents at dipoles located at pre-specified locations. The number of such dipoles is limited to one third of the number of electroencephalogram electrodes, so they are best regarded as neuronal aggregates instead of individual neurons. The algorithm has been executed on up to five seconds of 128-electrode electroencephalogram data sampled at 2048 Hertz. Numerical results are provided in graphical format.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2006
Accession Number
ADA464037

Entities

People

  • David Cohoon

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Biomedical Engineering
  • Boundary Value Problems
  • Brain
  • Computer Programs
  • Differential Equations
  • Electromagnetic Fields
  • Health Services
  • Magnetic Fields
  • Mathematical Filters
  • Mathematics
  • Partial Differential Equations
  • Physical Theories
  • Prosthetics
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Neuroscience
  • Operations Research

Technology Areas

  • Space
  • Space - Space Objects