On the Detection of Visual Evoked Responses by Using Multiple Coherence

Abstract

The coherence between the stimulation signal and the EEG has been used in the detection of evoked responses, However, the detector's performance depends on both the signal-to-noise ratio of the responses and the number of data segments used in the coherence estimation, Recently, the multiple coherence between the stimulation signal and the EEG has been suggested as a way of improving such detection, In this work such methodology is farther investigated using Monte Carlo simulations, and the effectiveness of the method is illustrated on data recorded from 12 young normal subjects daring rhythmic photic simulation.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA411414

Entities

People

  • A. Miranda De Sa
  • L. B. Felix

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Acquisition
  • Confidence Limits
  • Data Acquisition
  • Data Science
  • Detection
  • Detectors
  • False Alarms
  • Frequency
  • Harmonics
  • Information Science
  • Military Research
  • Monte Carlo Method
  • Neurology
  • Probability
  • Sampling
  • Surgery
  • Three Dimensional

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computational Modeling and Simulation
  • Wave Propagation and Nonlinear Chaotic Dynamics.