Detection, Estimation, and Multidimensional Processing of Single Evoked Potentials.

Abstract

A new method of generating and selecting features for computer classification of ERP waveforms is described. The technique employs features that are time samples of measured ERP waveforms that have been bandpass filtered. An improvement of more conventional techniques is shown with both simulated and measured data. A comparison of performance of a quadratic classifier with optimum feature selection is made with one using (suboptimal) forward segmented feature selection. Details of the design and performance are presented for an optimum time-varying filter for estimating ERP waveforms. The filter accepts inputs from multiple electrodes and generates an estimate for the waveform at a single electrode. Results for both simulated and measured data are presented. Some preliminary studies of artifact generation in ERP waveforms are described.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1985
Accession Number
ADA170125

Entities

People

  • C. D. Mcgillem
  • J. I. Aunon

Organizations

  • Purdue University

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computer Programs
  • Computers
  • Data Science
  • Detection
  • Electrical Engineering
  • Electrophysiological Phenomena
  • Engineering
  • Feature Selection
  • Information Processing
  • Information Science
  • Integral Equations
  • Pattern Recognition
  • Random Variables
  • Signal Processing
  • Statistical Algorithms

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computer Vision.