Seizure detection by recurrent backpropagation neural network analysis

4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003

Volumn , Issue , 2003, Pages 312-317

  Bates, R R ^a,b   Sun, M ^a,b,c   Scheuer, M L ^a   Sclabassi, R J ^a,b,c  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF PITTSBURGH   (United States)

^c University of Pittsburgh   (United States)

Author keywords

Artificial neural networks; Backpropagation; Biological neural networks; Data analysis; Electroencephalography; Epilepsy; Neural networks; Recurrent neural networks; Signal analysis; Surgery

Indexed keywords

BACKPROPAGATION; DATA REDUCTION; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; NETWORK ARCHITECTURE; NEURAL NETWORKS; SIGNAL ANALYSIS; SURGERY; UNCERTAINTY ANALYSIS;

BACK PROPAGATION NEURAL NETWORKS; BIOLOGICAL NEURAL NETWORKS; EPILEPSY; EPILEPTIC PATIENTS; HIDDEN LAYERS; MULTILAYER RECURRENT NEURAL NETWORKS; SEIZURE ACTIVITY; SEIZURE DETECTION;

RECURRENT NEURAL NETWORKS;

EID: 34047151220     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISUMA.2003.1236179     Document Type: Conference Paper

References (9)

1. Blum, D., "Computer-based Electroencephalography: Technical Basics, Basis for New Applications, and Potential Pitfalls," Electroenceph. and Clin. Neurophys. 106 (1998), pp. 118-126.
2. Ebersole, John, S., "Defining Epileptogenic Foci: Past, Present, and Future," J. Clin. Neurophys., 14(6) (1997), pp. 470-483.
3. Nuñez, P.L., Neocortical Dynamics and Human EEG Rhythms, New York, Oxford University Press, (1994).
4. Gotman, J., "Automatic Seizure Detection: Improvements and Evaluation," Electroenceph. and Clin. Neurophys. 76 (1990), pp. 317-324
5. Haykin, S., Neural Networks: A Comprehensive Foundation. NY: Macmillan College Publishing Company, Inc., 1994., pp. 4-5.
6. Elman, J.L., "Finding Structure in Time," Cognitive Science, vol. 14, pp. 179-211, 1990.
7. Haykin, S., ibid.., p. 189.
8. Baum, E.B., David, H., "What size net gives valid generalization?" Neural Computation, vol. 1, no. 1, pp. 151-160, 1989.
9. Riedmiller, M, Braun, H. "A Direct Adaptive Method for Faster Backpropagation Learning: The RPROP Algorithm." IEEE Intl. Conference on Neural Networks, vol 1. pp. 586-591, 1993.