An optimization approach to recognition of epileptogenic data using neural networks with simplified input layers

Biomedical Sciences Instrumentation

Volumn 40, Issue , 2004, Pages 181-186

  Ayala, Melvin ^a   Adjouadi, Malek ^a   Yaylali, Ilker ^b   Jayakar, Prasanna ^b  

^a The Department of Electrical and Computer Engineering   (United States)

^b MIAMI CHILDREN'S HOSPITAL   (United States)

Author keywords

Artificial Neural Networks; EEG; Epilepsy; Interictal Spikes

Indexed keywords

ALGORITHMS; DATA ACQUISITION; DIAGNOSIS; ELECTROENCEPHALOGRAPHY; OPTIMIZATION; PATIENT MONITORING; RECORDING;

EPILEPTIC DATA; POLYGON; TREND-ADAPTIVE;

NEURAL NETWORKS;

ACCURACY; ALGORITHM; ARTIFICIAL NEURAL NETWORK; CONFERENCE PAPER; DIAGNOSTIC ACCURACY; ELECTROENCEPHALOGRAM; EPILEPSY; EPILEPTOGENESIS; GEOMETRY; SPIKE; VALIDATION PROCESS;

ACTION POTENTIALS; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN MAPPING; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 2342624493     PISSN: 00678856     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (10)

1. Iasemidis L. D. and Sackellares J. C., "Chaos Theory and Epilepsy," The Neuroscientist. 2: 118-126, 1996.
2. Guevara M. R., "Chaos in Electrophysiology," in: Concepts and Techniques in Bioelectric Measurements: Is the Medium Carrying the Message?, edited by LeBlanc, A-R, Billette, J., Editions de l'Ecole Polytechnique de Montreal, Montreal, pp. 67-87, 1997.
3. Yaylali I., Kocak H., and Jayakar P., "Detection of Seizures from Small Samples using Non-Linear Dynamic System Theory," IEEE Trans. Biomed. Eng., Vol. 43 (7): 743-751, 1996.
4. Bezerianos A., Tong S, and Thakor N., "Time-Dependent Entropy Estimation of EEG Rhythm Changes Following Brain Ischemia", Annals of Biomedical Engineering, Vol. 31, pp. 221-232, 2003.
5. Martinerie J., Adam C., Le Van Quyen M., et. al. "Epileptic Seizures can be Anticipated by Non-Linear Analysis," Nat. Med.; 4: 1173-6, 1998.
6. Balduzzo M., Minelli T. A., and Turicchia L., "Signal Analysis and Simulation of the EEG Activity." International Journal of Chaos Theory and Applications, Vol. 4, Issue # 2-3, 1999.
7. Gotman, J. Wang., L. Y., "State Dependent Spike Detection: Validation," Electroencephalography and Clinical Neurophysiology, 83: 12-18, 1992.
8. Adjouadi M., Sanchez D, Cabrerizo M., Ayala M., Jayakar P., Yaylali I., and Barreto A., "Interictal Spike Detection Using the Walsh Transform", to appear in the IEEE Transactions on Biomedical Engineering, 2003.
9. Tarassenko L., Khan Y. U., and Holt M. R. G., "Identification Of Interictal Spikes In The EEG Using Neural Network Analysis," IEEE Proceedings: Science, Measurement and Technology; 145(6): 270-278, 1998.
10. Jayakar P., Patrick J. P., Shwedyk E., and Seshia S. S., "Automated Rule Based Graded Analysis Of Ambulatory Cassette EEGs," Electroenceph. Clin. Neurophysiol., 72: 165-175, 1989.