Channel selection for automatic seizure detection

Clinical Neurophysiology

Volumn 123, Issue 1, 2012, Pages 84-92

  Duun Henriksen, Jonas ^a,b,c   Kjaer, Troels Wesenberg ^b   Madsen, Rasmus Elsborg ^c   Remvig, Line Sofie ^c   Thomsen, Carsten Eckhart ^d   Sorensen, Helge Bjarup Dissing ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b Mental Health Services CPH   (Denmark)

^c Hypo Safe A/S   (Denmark)

^d UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Automatic seizure detection; Channel selection; EEG; Epilepsy

Indexed keywords

ARTICLE; CHANNEL GATING; CLINICAL ARTICLE; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; ELECTROENCEPHALOGRAM; HUMAN; INTERMETHOD COMPARISON; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SEIZURE; SENSITIVITY ANALYSIS; WAVELET ANALYSIS;

ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINES;

EID: 84655169628     PISSN: 13882457     EISSN: 18728952     Source Type: Journal    
DOI: 10.1016/j.clinph.2011.06.001     Document Type: Article

References (24)

1. Aarabi A., Fazel-rezai R., Aghakhani Y. A fuzzy rule-based system for epileptic seizure detection in intracranial EEG. Clin Neurophysiol 2009, 120(9):1648-1657.
2. Aschenbrenner-Scheibe R., Maiwald T., Winterhalder M., Voss H.U., Timmer J., Schulze-Bonhage A. How well can epileptic seizures be predicted? An evaluation of a nonlinear method. Brain 2003, 126(Pt 12):2616-2626.
3. Fisher R.S., Webber W.R., Lesser R.P., Arroyo S., Uematsu S. High-frequency EEG activity at the start of seizures. J Clin Neurophysiol 1992, 9(3):441-448.
4. Frei MG, Osorio I, Frei AW. The FHS publicly available ECoG database. In: Poster presentation, 62nd annual meeting of the American Epilepsy Society; 2008.
5. Gardner A.B., Krieger A.M., Vachtsevanos G., Litt B. One-class novelty detection for seizure analysis from intracranial EEG. J Mach Learn Res 2006, 71025-71044.
6. Gilliam F., Kuzniecky R., Faught E., Black L., Carpenter G., Schrodt R. Patient-validated content of epilepsy-specific quality-of-life measurement. Epilepsia 1997, 38(2):233-236.
7. Glover J.R., Ktonas P.Y., Shastry M., Kumar A.T., Muktevi V. Methodology and system architecture for automated detection of epileptic seizures in the neonatal EEG. Annu Int Conf IEEE Eng Med Biol Proc 2002, 1:70-71.
8. Gotman J., Ives J., Gloor P. Frequency content of EEG and EMG at seizure onset: possibility of removal of EMG artefact by digital filtering. Electroencephalogr Clin Neurophysiol 1981, 52(6):626-639.
9. Gotman J. Automatic recognition of epileptic seizures in the EEG. Electroencephalogr Clin Neurophysiol 1982, 54(5):530-540.
10. Henriksen J., Remvig L.S., Madsen R.E., Kjaer T.W., Thomsen C.E., Conradsen I., et al. Automatic seizure detection: going from sEEG to iEEG. Conf Proc IEEE Eng Med Biol Soc 2010, 1:2431-2434.
11. Joachims T. Making large-scale support vector machine learning practical. Advances in kernel methods: support vector learning 1999, 169-184. MIT Press. B. Schölkopf, C.J.C. Burges, A.J. Smola (Eds.).
12. Khan Y., Gotman J. Wavelet based automatic seizure detection in intracerebral electroencephalogram. Clin Neurophysiol 2003, 114:898-908.
13. Klatchko A., Raviv G., Webber W.R., Lesser R.P. Enhancing the detection of seizures with a clustering algorithm. Electroencephalogr Clin Neurophysiol 1998, 106(1):52-63.
14. Kohavi R., John G.H. Wrappers for feature subset selection. Artif Intell 1997, 97(1-2):273-324.
15. Lundbech L., Sabers A. Effect of antiepileptic drugs on cognitive function in individuals with epilepsy: a comparative review of newer versus older agents. Drugs 2002, 62(4):593-604.
16. Minasyan G.R., Chatten J.B., Chatten M.J., Harner R.N. Patient-specific early seizure detection from scalp electroencephalogram. J Clin Neurophysiol 2010, 27(3):163-178.
17. Mormann F., Andrzejak R.G., Elger C.E., Lehnertz K. Seizure prediction: the long and winding road. Brain 2007, 130(2):314-333.
18. Nicolelis M.A.L. Actions from thoughts. Nature 2001, 409:403-407. [January].
19. Osorio I., Frei M.G., Wilkinson S.B. Real-time automated detection and quantitative analysis of seizures and short-term prediction of clinical onset. Epilepsia 1998, 39(6):615-627.
20. Osorio I., Frei M., Giftakis J., Peters T., Ingram J.M. Performance reassessment of a real-time seizure-detection algorithm on long ECoG series. Epilepsia 2002, 43(12):1522-1535.
21. Qu H., Gotman J. Improvement in seizure detection performance by automatic adaptation to the EEG of each patient. Electroencephalogr Clin Neurophysiol 1993, 86(2):79-87.
22. Shih E.I., Shoeb A.H., Guttag J.V. Sensor selection for energy-efficient ambulatory medical monitoring. Mobisys 2009, 347-358.
23. Shoeb A., Edwards H., Connolly J., Bourgeois B., Treves S.T., Guttag J. Patient-specific seizure onset detection. Epilepsy Behav 2004, 5(4):483-498.
24. Vapnik V.N. The nature of statistical learning theory 1995, Springer, New York. 2nd ed.