Diagnostic implications of EEG analysis in patients with dementia

2nd International IEEE EMBS Conference on Neural Engineering

Volumn 2005, Issue , 2005, Pages 629-632

  Hudson, D L ^a,b   Cohen, M E ^b   Kramer, M ^c   Szeri, A ^c   Chang, F L ^a,d  

^a IEEE   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d Fort Wayne Neurological Clinic   (United States)

Author keywords

EEG analysis; Neural network models; Neural signal processing; Synchronization

Indexed keywords

DEMENTIA; EEG ANALYSIS; NEURAL NETWORK MODELS; NEURAL SIGNAL PROCESSING;

DIAGNOSIS; NEURAL NETWORKS; PATIENT TREATMENT; SYNCHRONIZATION;

ELECTROENCEPHALOGRAPHY;

EID: 33645012274     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CNE.2005.1419703     Document Type: Conference Paper

References (18)

1. M.E. Cohen, D.L. Hudson, Consequential Reasoning in Alzheimer's Disease, ISCA Intelligent Systems, 2001, 10: 5-8.
2. G Edlinger, P Wach, G Pfurtscheller, On the realization of an analytic high-resolution EEG, IEEE Trans. Biomedical Engineering, 1998, 45:736-745.
3. R. Ihl, T. Dierks, E.M. Martin, L. Frolich, K.,Maurer, Importance of the EEG in early and differential diagnosis of dementia of the Alzheimer type. Fortschritte der Neurologie-Psychiatrie. Dec. 1992, 60(12):451-9.
4. D. L. Hudson, M.E. Cohen, Mapping of Chaotic Patterns for Localization of EEG Abnormalities, IEEE Engineering in Medicine and Biology, 2002, 24:1-2.
5. M.E. Cohen, D.L. Hudson, EEG Analysis Based on Chaotic Evaluation of Variability, IEEE Engineering in Medicine and Biology, 2001, 23 (CD). [6]
6. J. Amhold, P. Grassberger, K. Lehnertz, C. Elger., A robust method for detecting interdependencies: applications to intracranially recorded EEG, Phys. Rev. D 1999; 134:419-430.
7. M. E. Cohen, D.L. Hudson, Knowledge-Based and Data-Based Analysis of Biomedical Signals, ISCA Computers and Their Applications, 2003, 18:67-70.
8. M.E. Cohen, D.L. Hudson, Determination of Membership Functions for the Identification of Degrees of Chaos in Biomedical Signals, Information Processing and Management of Uncertainty, 9, 2004.
9. M. Akay, Wavelets in biomedical engineering, Annals of Biomedical Engineering, 1995, 23(5), 531-42.
10. M. Kramer, A.J. Szeri, Quantitative determination of the cortical surface potential from EEG measurements, IEEE Transactions on Biomedical Engineering 2004, 51 (8): 1358-1365.
11. M.E. Cohen, D.L. Hudson, Chaos and time series analysis, in Encyclopedia of Electrical & Electronics Engineering, J.G. Webster, Ed., John Wiley & Sons, 1999, pp. 218-226.
12. M.E. Cohen, D.L. Hudson, M.F. Anderson, P.C. Deedwania, A conjecture to the solution of the continuous logistic equation, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1994, 2(4):445-461.
13. M.E. Cohen, D.L. Hudson, M. Kramer, EEG Analysis as a Diagnostic Tool, IEEE Biosignal Analysis, 2002, IV:355-358.
14. L.M. Pecora, T.L. Carroll, Phys. Rev. Lett., Synchronization in chaotic systems, 1990, 64:821-824.
15. M.A. Kramer, E. Edwards, M. Soltani, M.S. Berger, R.T. Knight, A.J. Szeri, Synchronization measures of bursting data: Application to the electrocorticogram of an auditory event-related experiment, Physical Review E, 2004 70: 011914.
16. M.E. Cohen, D.L. Hudson, Comparative Approaches to Medical Reasoning, World Scientific, 1995.
17. D.L. Hudson, M.E. Cohen, Neural Networks and Artificial Intelligence in Biomedical Engineering, IEEE Press, 1999.
18. M.E. Cohen, D.L. Hudson, Using Clinical Information and Nonlinear EEG Analysis for Diagnosis of Dementia, IEEE Engineering in Medicine and Biology, 2003, 25:2288-2302.