Head Reconstruction and Localization of Brain Activity Using Bayesian Evidence

Abstract

This study is devoted to a detection of evoked potentials in a brain activity with aim to map these potentials onto a scalp. in this case, there is necessary to focus recorded scalp potentials, which are blurred due to scalp attenuation and, moreover masked by a brain activity. The aim is to estimate the foci of active regions of the brain during evoked potentials. Our suggested approach is based on the use of Bayesian evidence to detect potentials in background noise (brain activity). New formula evaluating the Bayesian evidence suitable for this purpose is derived, tested and verified on artificially generated and real data.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412228

Entities

People

  • A. Stancak
  • J. Kralik
  • P. Sovka
  • R. Cmejla

Organizations

  • Czech Technical University in Prague

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Amplitude
  • Bayesian Inference
  • Bayesian Networks
  • Biomedical Engineering
  • Computational Science
  • Coordinate Systems
  • Czech Republic
  • Detection
  • Dipole Moments
  • Electroencephalography
  • Electrophysiological Phenomena
  • Models
  • Noise
  • Probability
  • Standards
  • Three Dimensional

Readers

  • Computer Vision.
  • Neuroscience
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference