Using Clinical Information and Nonlinear EEG Analysis for Diagnosis of Dementia

Maurice E. Cohen, Donna L. Hudson, Fen-Lei Chang, Mark Kramer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The analysis of electrocardiograms presents a particularly difficult problem due to a number of factors, including the lack of specificity of the signal and the inability to map the scalp potential to physiological parameters. In the work described here, nonlinear EEG analysis based on computation of cortical potential followed by nonlinear analysis based on the computation of degree of variability is combined with imaging results and clinical parameters to form a diagnostic model for dementia diagnosis. These parameters are combined through the use of an intelligent agent model that uses a knowledge-based system and a neural network model in addition to the biomedical signal analyzer.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
EditorsR.S. Leder
Pages2299-2302
Number of pages4
Volume3
StatePublished - 2003
Externally publishedYes
EventA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: Sep 17 2003Sep 21 2003

Other

OtherA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CountryMexico
CityCancun
Period9/17/039/21/03

Fingerprint

Electroencephalography
Intelligent agents
Bioelectric potentials
Knowledge based systems
Nonlinear analysis
Electrocardiography
Neural networks
Imaging techniques

Keywords

  • Chaotic analysis
  • Cortical potential
  • Dementia
  • Intelligent agents
  • Neural networks

ASJC Scopus subject areas

  • Bioengineering

Cite this

Cohen, M. E., Hudson, D. L., Chang, F-L., & Kramer, M. (2003). Using Clinical Information and Nonlinear EEG Analysis for Diagnosis of Dementia. In R. S. Leder (Ed.), Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 3, pp. 2299-2302)

Using Clinical Information and Nonlinear EEG Analysis for Diagnosis of Dementia. / Cohen, Maurice E.; Hudson, Donna L.; Chang, Fen-Lei; Kramer, Mark.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. ed. / R.S. Leder. Vol. 3 2003. p. 2299-2302.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cohen, ME, Hudson, DL, Chang, F-L & Kramer, M 2003, Using Clinical Information and Nonlinear EEG Analysis for Diagnosis of Dementia. in RS Leder (ed.), Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. vol. 3, pp. 2299-2302, A New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Cancun, Mexico, 9/17/03.
Cohen ME, Hudson DL, Chang F-L, Kramer M. Using Clinical Information and Nonlinear EEG Analysis for Diagnosis of Dementia. In Leder RS, editor, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 3. 2003. p. 2299-2302
Cohen, Maurice E. ; Hudson, Donna L. ; Chang, Fen-Lei ; Kramer, Mark. / Using Clinical Information and Nonlinear EEG Analysis for Diagnosis of Dementia. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. editor / R.S. Leder. Vol. 3 2003. pp. 2299-2302
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