Use of Intelligent Agents to Include Signal Analysis Data

Abstract

Signal analysis data, especially electrocardiogram (ECG) and electroencephalogram (EEG) data, provide important information for clinical decision-making. In order to arrive at a diagnosis, it is often necessary to combine these results with other clinical parameters. Problems remain in the automation of this process for the development of computer -assisted diagnosis tools. A promising approach includes the use of intelligent agents, a procedure that involves the development of a central mechanism to provide communications among differing methodologies and different information types to provide a comprehensive solution to the problem. This methodology is illustrated in a decision model for diagnosis of dementia emphasizing the inclusion of summary measures for EEG data.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410426

Entities

People

  • Donna L. Hudson
  • Maurice E. Cohen

Organizations

  • University of California, San Francisco

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Computer Languages
  • Computers
  • Dementia
  • Dimensionality Reduction
  • Genetic Testing
  • Intelligent Agents
  • Knowledge Based Systems
  • Language
  • Natural Languages
  • Neural Networks
  • Pain
  • Pattern Recognition
  • Signal Processing
  • Test And Evaluation

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computational Modeling and Simulation
  • Systems Analysis and Design