Early Seizure Detection Algorithm Based on Intracranial EEG and Random Forest Classification

International Journal of Neural Systems

Volumn 25, Issue 5, 2015, Pages

  Donos, Cristian ^a   Dümpelmann, Matthias ^a   Schulze Bonhage, Andreas ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

EEG features; Epilepsy; feature classification; intracranial EEG; seizure detection

Indexed keywords

DECISION TREES; ELECTROENCEPHALOGRAPHY; RANDOM FORESTS; SIGNAL DETECTION;

EPILEPSY; FEATURE CLASSIFICATION; INTRACRANIAL EEG; RANDOM FOREST CLASSIFICATION; RANDOM FOREST CLASSIFIER; SEIZURE DETECTION; STIMULATION DEVICES; TRAINING DATA SETS;

CLASSIFICATION (OF INFORMATION);

ADOLESCENT; ADULT; ALGORITHM; BRAIN; EARLY DIAGNOSIS; ELECTROCORTICOGRAPHY; FEMALE; HUMAN; IMPLANTABLE NEUROSTIMULATOR; LABORATORY DIAGNOSIS; MALE; MIDDLE AGED; PATHOPHYSIOLOGY; PROCEDURES; SEIZURES; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; TIME; YOUNG ADULT;

ADOLESCENT; ADULT; ALGORITHMS; BRAIN; EARLY DIAGNOSIS; ELECTROCORTICOGRAPHY; FALSE POSITIVE REACTIONS; FEMALE; HUMANS; IMPLANTABLE NEUROSTIMULATORS; MALE; MIDDLE AGED; SEIZURES; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS; YOUNG ADULT;

EID: 84931569742     PISSN: 01290657     EISSN: 17936462     Source Type: Journal    
DOI: 10.1142/S0129065715500239     Document Type: Article

References (48)

1. D. J. Thurman, E. Beghi, C. E. Begley, A. T. Berg, J. R. Buchhalter, D. Ding, D. C. Hesdorffer, W. A. Hauser, L. Kazis, R. Kobau, B. Kroner, D. Labiner, K. Liow, G. Logroscino, M. T. Medina, C. R. Newton, K. Parko, A. Paschal, P. M. Preux, J. W. Sander, A. Selassie, W. Theodore, T. Tomson and S. Wiebe, ILAE commission on epidemiology, standards for epidemiologic studies and surveillance of epilepsy, Epilepsia 52 (2011) 2-26.
2. P. Kwan and M. J. Brodie, Early identification of refractory epilepsy, N. Engl. J. Med. 342 (2000) 314-319.
3. J. F. Kerrigan, B. Litt, R. S. Fisher, S. Cranstoun, J. A. French, D. E. Blum, M. Dichter, A. Shetter, G. Baltuch, J. Jaggi, S. Krone, M. Brodie, M. Rise and N. Graves, Electrical stimulation of the anterior nucleus of the thalamus for the treatment of intractable epilepsy, Epilepsia 45 (2004) 346-354.
4. K. Elisevich, K. Jenrow, L. Schuh and B. Smith, Long-term electrical stimulation-induced inhibition of partial epilepsy. Case report, J. Neurosurg. 105 (2006) 894-897.
5. R. Fisher, V. Salanova, T. Witt, R. Worth, T. Henry, R. Gross, K. Oommen, I. Osorio, J. Nazzaro, D. Labar, M. Kaplitt, M. Sperling, E. Sandok, J. Neal, A. Handforth, J. Stern, A. DeSalles, S. Chung, A. Shetter, D. Bergen, R. Bakay, J. Henderson, J. French, G. Baltuch, W. Rosenfeld, A. Youkilis, W. Marks, P. Garcia, N. Barbaro, N. Fountain, C. Bazil, R. Goodman, G. McKhann, K. Babu Krishnamurthy, S. Papavassiliou, C. Epstein, J. Pollard, L. Tonder, J. Grebin, R. Coffey and N. Graves, SANTE study group, electrical stimulation of the anterior nucleus of thalamus for treatment of refractory epilepsy, Epilepsia 51(5) (2010) 899-908.
6. K. N. Fountas, J. R. Smith, A. M. Murro, J. Politsky, Y. D. Park and P. D. Jenkins, Implantation of a closed-loop stimulation in the management of medically refractory focal epilepsy. A technical Note, Stereotact. Funct. Neurosurg. 83 (2005) 153-158.
7. M. J. Morrell, RNS system in epilepsy study group, responsive cortical stimulation for the treatment of medically intractable partial epilepsy, Neurology 77(13) (2011) 1295-1304.
8. J. Gotman, Automatic seizure detection: Improvements and evaluation, Electroencephalogr. Clin. Neurophysiol. 76(4) (1990) 317-324.
9. J. Gotman, Automatic detection of seizures and spikes, J.Clin. Neurophysiol. 16(2) (1999) 130-140.
10. C. Rummel, R. G. Andrzejak and K. Schindler, Quantitative analysis of peri-ictal multi-channel EEG, Epileptologie 29 (2012) 99-113.
11. S. Ramgopal, S. Thome-Souza, M. Jackson, N. E. Kadish, I. Sánchez Fernández, J. Klehm, W. Bosl, C. Reinsberger, S. Schachter and T. Loddenkemper, Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy, Epilepsy Behav. 37 (2014) 291-307.
12. L. Logesparan, A. J. Casson and E. Rodriguez-Villegas, Optimal features for online seizure detection, Med. Bio. Eng. Comput. 50(7) (2012) 659-669.
13. M. Besserve, K. Jerbi, F. Laurent, S. Baillet, J. Martinerie, J. Martinerie and L. Garnero, Classification methods for ongoing EEG and MEG signals, Biol. Res. 40 (2007) 415-437.
14. H. Adeli and S. Ghosh-Dastidar, Automated EEG-Based Diagnosis of Neurological Disorders - Inventing the Future of Neurology (CRC Press, Taylor & Francis, Boca Raton, Florida, 2010).
15. M. Ihle, H. Feldwisch-Drentrup, C. A. Teixeira, A. Witon, B. Schelter, J. Timmer and A. Schulze-Bonhage, EPILEPSIAE - A European epilepsy database, Comput. Methods. Programs. Biomed. 106(3) (2012) 127-138.
16. L. Guo, D. Rivero, J. Dorado, J. R. Rabuñal and A. Pazos, Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks, J. Neurosci. Methods 191(1) (2010) 101-109.
17. th European Congress on Epileptology, 29 June-3 July 2014, Stockholm, Sweden.
18. P. J. Allen, D. R. Fish and S. J. Smith, Very high-frequency rhythmic activity during SEEG suppression in frontal lobe epilepsy, Electroencephalogr. Clin. Neurophysiol. 82 (1992) 155-159.
19. R. S. Fisher, W. R.Webber, R. P. Lesser, S. Arroyo and S. Uematsu, High-frequency EEG activity at the start of seizures, J. Clin. Neurophysiol. 9 (1992) 441-448.
20. F. Wendling, F. Bartolomei, J. J. Bellanger, J. Bourien and P. Chauvel, Epileptic fast intracerebral EEG activity: Evidence for spatial decorrelation at seizure onset, Brain 126(Pt 6) (2003) 1449-1459.
21. G. A. Worrell, L. Parish, S. D. Cranstoun, R. Jonas, G. Baltuch and B. Litt, High-frequency oscillations and seizure generation in neocortical epilepsy, Brain 127(Pt 7) (2004) 1496-1506.
22. D. F. Diaz, T. Virues, M. San Martin, M. Ruiz, L. Galan, L. Paz and P. Valdes, Generalized background QEEG abnormalities in localized symptomatic epilepsy, Electroencephalogr. Clin. Neurophysiol. 106 (1988) 501-507.
23. A. Liaw and M. Wiener, Classification and regression by random forest, R. News 2(3) (2002) 18-22.
24. L. Breiman, Random forests, Mach. Learn. 45(1) (2001) 5-32.
25. L. Breiman, Bagging predictors, Mach. Learn. 24 (1996) 123-140.
26. rd Int. Conf. Document Analysis and Recognition, Montreal, QC, 14-16 August 1995, pp. 278-282.
27. T. K. Ho, The random subspace method for constructing decision forests, IEEE Trans. Pattern. Anal. Mach. Intell. 20(8) (1998) 832-844.
28. Y. Amit and D. Geman, Shape quantization and recognition with randomized trees, Neural. Comput. 9(7) (1997) 1545-1588.
29. C. Gini, Variabilità e Mutuabilità. Contributo allo Studio delle Distribuzioni e delle Relazioni Statistiche, C. Cuppini, Bologna (in Italian) (1912).
30. M. Takahashi, F. Mahito, S. Masahiro et al., Automatic pitch type recognition system from single-view video sequences of baseball broadcast videos, in Methods and Innovations for Multimedia Database Content Management, eds. S. Chen and M. Shyu (IGI Global, 2012), pp. 119-142.
31. K. Götz-Trabert, C. Hauck, K. Wagner, S. Fauser and A. Schulze-Bonhage, Spread of ictal activity in focal epilepsy, Epilepsia 49 (2008) 1594-1601.
32. K. Vonck, P. Boon, E. Achten, J. De Reuck and J. Caemaert, Long-term amygdalohippocampal stimulation for refractory temporal lobe epilepsy, Ann. Neurol. 52 (2002) 556-565.
33. A. Schulze-Bonhage, Interictal EEG and its relevance for seizure prediction, in Recent Advances in Predicting and Preventing Epileptic Seizures, R.Tetzlaff, C. E. Elger and K. Lehnertz (New Jersey, World Scientific, 2013), pp. 30-41.
34. H. Feldwisch-Drentrup, M. Ihle, V. Quyen Mle, C. Teixeira, A. Dourado, J. Timmer, F. Sales, V. Navarro, A. Schulze-Bonhage and B. Schelter, Anticipating the unobserved: prediction of subclinical seizures, Epilepsy Behav. 2011, 22 Suppl 1:S119-S126.
35. K. Schindler, R. Wiest, M. Kollar and F. Donati, Using simulated neuronal cell models for detection of epileptic seizures in foramen ovale and scalp EEG, Clin. Neurophysiol. 112 (2001) 1006-1017.
36. A. Yan, W. Zhou, Q. Yuan et al., Automatic seizure detection using stockwell transform and boosting algorithm for long-term EEG, Epilepsy Behav. 45 (2015) 8-14.
37. R. G. Stockwell, L. Mansinha and R. P. Lowe, Localization of the complex spectrum: The S transform, IEEE Trans. Signal Process. 44(4) (1996) 998-1001.
38. S. Raghunathan, A. Jaitli and P. P. Irazoqui, Multistage seizure detection techniques optimized for low-power hardware platforms, Epilepsy. Behav. 22(Suppl1) (2011) S61-S68.
39. M. Bandarabadi, C. A. Teixeira, T. I. Netoff et al., Robust and low complexity algorithms for seizure detection, Conf. Proc. IEEE Eng. Med. Biol. Soc. 2014 (2014) 4447-4450.
40. Y. X. Zheng, J. M. Zhu, Y. Qi et al., An automatic patient-specific seizure onset detection method using intracranial electroencephalography, Neuromodulation 18(2) (2015) 79-84.
41. W. Zhou, Y. Liu, Q. Yuan et al., Epileptic seizure detection using lacunarity and bayesian linear discriminant analysis in intracranial EEG, IEEE Trans. Biomed Eng. 60(12) (2013) 3375-3381.
42. A. F. Rabbi and R. Fazel-Rezai, A fuzzy logic system for seizure onset detection in intracranial EEG, Comput. Intell. Neurosci. 2012 (2012) 705140.
43. H. Adeli, S. Ghosh-Dastidar and N. Dadmehr, A wavelet-chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy, IEEE Trans. Biomed. Eng. 54(2) (2007) 205-211.
44. F. Cong, A. H. Phan, P. Astikainenet al., Multidomain feature extraction for small event-related potentials through nonnegative multi-way array decomposition from low dense array EEG, Int. J. Neural. Syst. 23(2) (2013) 1350006.
45. R. J. Martis, U. R. Acharya, J. H. Tan et al., Application of intrinsic time-scale decomposition (ITD) to EEG signals for automated seizure prediction, Int. J. Neural. Syst. 23(5) (2013) 1350023.
46. P. Sharma, Y. U. Khan, O. Farooq et al., A Wavelet-statistical features approach for non-convulsive seizure detection, Clin. EEG. Neurosci. 45(4) (2014) 274-284.
47. R. Meier, H. Dittrich, A. Schulze-Bonhage and A. Aertsen, Detecting epileptic seizures in long-term human EEG: A new approach to automatic online and real-time detection and classification of polymorphic seizure patterns. J. Clin. Neurophysiol. 25 (2008) 119-131.
48. C. N. Heck, D. King-Stephens, A. D. Massey et al., Two-year seizure reduction in adults with medically intractable partial onset epilepsy treated with responsive neurostimulation: Final results of the RNS system pivotal trial, Epilepsia. 55(3) (2014) 432-441.