Context-Based Automated Detection of Epileptogenic Sharp Transients in the EEG: Elimination of False Positives

IEEE Transactions on Biomedical Engineering

Volumn 36, Issue 5, 1989, Pages 519-527

  Glover, John R ^a   Raghavan, Narasimhan ^a   Ktonas, Periklis Y ^a   Frost, James D ^b  

^a UNIVERSITY OF HOUSTON   (United States)

^b BAYLOR COLLEGE OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; WAVEFORM ANALYSIS--AUTOMATION;

EEG SIGNAL ANALYSIS; EPILEPTOGENIC SHARP TRANSIENTS; FALSE POSITIVE DETECTIONS; KNOWLEDGE BASED SYSTEM; SPATIO-TEMPORAL CONTEXT INFORMATION;

BIOMEDICAL ENGINEERING;

COMPUTER ANALYSIS; CONTROLLED STUDY; ELECTROCARDIOGRAPHY; ELECTROENCEPHALOGRAPHY; ELECTROMYOGRAPHY; ELECTROOCULOGRAPHY; EPILEPSY; HUMAN; HUMAN EXPERIMENT; MEASUREMENT; METHODOLOGY;

ARTIFICIAL INTELLIGENCE; ELECTROCARDIOGRAPHY; ELECTROENCEPHALOGRAPHY; ELECTROMYOGRAPHY; ELECTROOCULOGRAPHY; EPILEPSIES, PARTIAL; FALSE POSITIVE REACTIONS; HUMAN; SUPPORT, U.S. GOV'T, P.H.S.;

EID: 0024661616     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/10.24253     Document Type: Article

References (9)

1. G. E. Chatrian, L. Bergamini, M. Dondey, D. W. Klass, M. Lennox-Buchthal, and I. Petersen, “A glossary of terms most commonly used by clinical electroencephalographers.” Electroencephalogr. clin. Neurophys., vol. 37, pp. 538–548, 1974.
2. P. Y. Ktonas, “Automated spike and sharp wave (SSW) detection,” in Methods of Analysis of Brain Electrical and Magnetic Signals, EEG Handbook (revised series, Vol. 1), A. S. Gevins and A. Remond, Eds. Amsterdam: Elsevier, 1987, pp. 211–241.
3. J. Gotman, “Automatic recognition of interictal spikes,” in Long-term Monitoring in Epilepsy (EEG Suppl. No. 37), J. Gotman, J. R. Ives, and P. Gloor, Eds. Amsterdam: Elsevier, 1985, pp. 93–114.
4. J. D. Frost, Jr., “Automatic recognition and characterization of epileptiform discharges in the human EEG,” J. Clin. Neurophys., vol. 2. pp. 231–249, 1985.
5. J. Gotman, J. R. Ives, and P. Gloor, “Automatic recognition of interictal epileptic activity in prolonged EEG recordings,” Electroencephalogr. clin. Neurophys., vol. 46, pp. 510–520, 1979.
6. D. A. Waterman, A Guide to Expert Systems. Reading, MA: Addison-Wesley, 1986, ch. 3, p. 18.
7. J. R. Glover, Jr., P. Y. Ktonas, N. Raghavan, J. M. Urunuela, S. S. Velamuri, and E. L. Reilly, “A multichannel signal processor for the detection of epileptogenic sharp transients in the EEG,” IEEE Trans. Biomed. Eng., vol. BME-33, pp. 1121–1128, Dec. 1986.
8. KEE: Knowledge Engineering Environment, Intellicorp, Mountain View, CA.
9. P. Y. Ktonas, W. M. Luoh, M. L. Kejariwal, E. L. Reilly, and M. A. Seward, “Computer-aided quantification of EEG spike and sharp wave characteristics,” Electroencephalogr. clin. Neurophys., vol. 51, pp. 237–243, 1981.