A new mathematical approach based on orthogonal operators for the detection of interictal spikes in epileptogenic data

Biomedical Sciences Instrumentation

Volumn 40, Issue , 2004, Pages 175-180

  Adjouadi, Malek ^a   Cabrerizo, Mercedes ^a   Ayala, Melvin ^a   Sanchez, Danmary ^a   Yaylali, Ilker ^b   Jayakar, Prasanna ^b   Barreto, Armando ^a  

^a Florida International University   (United States)

^b MIAMI CHILDREN'S HOSPITAL   (United States)

Author keywords

Diagnostic measures; EEG data; Focal Epilepsy; Interictal spike detection; Signal decompositions

Indexed keywords

ALGORITHMS; DATA ACQUISITION; DECOMPOSITION; DEMODULATION; ELECTROENCEPHALOGRAPHY; PATIENT MONITORING; SIGNAL PROCESSING;

EPILEPTIC; ORTHOGONAL OPERATORS; SPIKES;

ORTHOPEDICS;

ACCURACY; ALGORITHM; CHILD; CLINICAL ARTICLE; CONFERENCE PAPER; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; EPILEPTOGENESIS; FOCAL EPILEPSY; HUMAN; MATHEMATICAL ANALYSIS; QUANTITATIVE ANALYSIS; RELIABILITY; SEIZURE; SIGNAL DETECTION; SPIKE;

ACTION POTENTIALS; ALGORITHMS; BRAIN; BRAIN MAPPING; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; MODELS, NEUROLOGICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 2342622564     PISSN: 00678856     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (11)

1. J. Gotman, "Practical use of commuter-assisted EEG interpretation in epilepsy", Clin Neurophysiol, 1985. vol. 2(3). pp. 251-265.
2. J.R. Glover, N. Raghavan, P.Y. Ktonas, and J.D. Frost, "Context-based automated detection of epileptogenic sharp transients in the EEG: Elimination of false positives," IEEE Trans. Biomed. Eng., vol. 36(5). pp. 519-527, May. 1989.
3. A. S. Gevins and A. Remond (eds), "Methods of Analysis of Brain Electrical and Magnetic Signals," in Handbook of Electroencephalography and Clinical Neurophysiology. Revised Series. vol. 1, Elsevier Science Ltd; Amsterdam, N.Y., Oxford, 1987.
4. P. Jayakar, T. J. Resnick, M.S. Duchowny, L.A. Alvarez, "Localization of epileptogenic foci using a simple reference-subtraction montage to detect small inter-channel time differences", J Clin Neurophysiol, 1991; vol. 8, pp. 212-215.
5. J. Gotman and L.Y. Wang, "State dependent spike detection: Validation," Electro-encephalography and Clinical Neurophysiology, vol. 83(1), pp. 12-18, Jul. 1992.
6. G. Hellmann, "Multifold features determine linear equation for automatic spike detection applying neural networks in interictal EcoG," Clinical Neurophysiology, vol. 11(5), pp. 887-894, May 1999.
7. C.W. Ko and H.W. Chung, "Automatic spike detection via an artificial neural network using raw EEG data." Clinical Neurophysiology, vol. 111(3), pp. 477-481, March 2000.
8. S. Popescu, "Trained wavelets used to detect epileptic spikes, " in Proc. of the IEEE-SP Intl. Symposium. Time-Frequency and Time-Scale Analysis, New Jersey. 1998, pp. 285-288.
9. B.L. Davey, W.R. Fright, G.J. Carroll, and R.D. Jones, "Expert system approach to detection of epileptiform activity in the EEG". Medical and Bio.1 Eng. & Computing, vol. 27(4), pp. 365-70, 1989.
10. R. C. Eberhart, Neutral Network PC Tools. San Diego, CA: Academic Press. 1990, pp. 161-177.
11. N. Mirkovic, M. Adjouadi, I. Yaylali, and P. Jayakar. "3-D localization of epileptic interictal spikes". Brain Topography, 2003, vol. 16 (2), pp. 111-119. 2003.