Gaussian mixture models for classification of neonatal seizures using EEG

Physiological Measurement

Volumn 31, Issue 7, 2010, Pages 1047-1064

  Thomas, E M ^a   Temko, A ^a   Lightbody, G ^a   Marnane, W P ^a   Boylan, G B ^a  

^a UNIVERSITY COLLEGE CORK   (Ireland)

Author keywords

Gaussian mixture models; Neonatal EEG; seizure detection

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); OBJECT RECOGNITION;

DETECTION SYSTEM; FALSE DETECTIONS; FEATURE TRANSFORMATIONS; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURE MODEL CLASSIFIERS; NEONATAL EEG; NEONATAL SEIZURE; REAL- TIME; SEIZURE-DETECTION; TRANSFORMATION TECHNIQUES;

GAUSSIAN DISTRIBUTION;

ARTIFACT; BIOLOGICAL MODEL; CLASSIFICATION; ELECTRODE; ELECTROENCEPHALOGRAPHY; HUMAN; LABORATORY DIAGNOSIS; MOVEMENT (PHYSIOLOGY); NEWBORN; NORMAL DISTRIBUTION; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; SEIZURE; SIGNAL PROCESSING;

ARTIFACTS; ELECTRODES; ELECTROENCEPHALOGRAPHY; FALSE POSITIVE REACTIONS; HUMANS; INFANT, NEWBORN; MODELS, NEUROLOGICAL; MOVEMENT; NORMAL DISTRIBUTION; ROC CURVE; SEIZURES; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77954108725     PISSN: 09673334     EISSN: 13616579     Source Type: Journal    
DOI: 10.1088/0967-3334/31/7/013     Document Type: Article

References (35)

1. Aarabi A, Grebe R and Wallois F 2007 A multistage knowledge-based system for EEG seizure detection in newborn infants Clin. Neurophysiol. 118 2781-97
2. Aarabi A, Wallois F and Grebe R 2006 Automated neonatal seizure detection, a multistage classification system through feature selection based on relevance and redundancy analysis Clin. Neurophysiol. 117 328-40
3. Bye A M E and Flanagan D 1995 Spatial and temporal characteristics of neonatal seizures Epilepsia 36 1009-16
4. Celka P and Colditz P 2002 A computer-aided detection of EEG seizures in infants, a singular-spectrum approach and performance comparison IEEE Trans. Biomed. Eng. 49 455-62
5. Clancy R 2006 Summary proceedings from the neurology group on neonatal seizures Pediatrics 117 23-7
6. Deburchgraeve W, Cherian P, Vos M D, Swarte R, Blok J, Visser G, Govaert P and Huffel S V 2008 Automated neonatal seizure detection mimicking a human observer reading EEG Clin. Neurophysiol. 119 2447-54
7. Dempster A P, Laird N M and Rubin D B 1977 Maximum likelihood from incomplete data via the EM algorithm J. the R. Stat. Soc. B 39 1-38
8. Evans D and Levene M 1998 Neonatal seizures Arch. Dis. Child. Fetal Neonatal Ed. 78 70-5
9. Faul S, Boylan G B, Connolly S, Marnane W P and Lightbody G 2005a Chaos theory analysis of the newborn EEGIs it worth the wait? Proc. IEEE Int. Symp. on Intelligent Signal Processing pp 381-6
10. Faul S, Boylan G B, Connolly S, Marnane W P and Lightbody G 2005b An evaluation of automated neonatal seizure detection methods Clin. Neurophysiol. 116 1533-41 (Pubitemid 40805433)
11. Gotman J, Flanagan D, Rosenblatt B, Bye A and Mizrahi E 1997a Evaluation of an automatic seizure detection methods for the newborn EEG Electroenceph. Clin. Neurophysiol. 103 363-9 (Pubitemid 27382145)
12. Gotman J, Flanagan D, Zhang J and Rosenblatt B 1997b Automatic seizure detection in the newborn: methods and initial evaluation Electroenceph. Clin. Neurophysiol. 103 356-62 (Pubitemid 27382144)
13. Greene B R, Faul S, Marnane W P, Lightbody G, Korotchikova I and Boylan G B 2008a A comparison of quantitative EEG features for neonatal seizure detection Clin. Neurophysiol. 119 1248-61
14. Greene B R, Marnane W P, Lightbody G, Reilly R B and Boylan G B 2008b Classifier models and architectures for EEG-based neonatal seizure detection Physiol. Meas. 29 1157-78
15. Guyon I, Alamdari A R S A, Dror G and Buhmann J M 2006 Performance prediction challenge Int. Joint Conf. on Neural Networks pp 2958-65
16. Kitayama M, Otsubo H, Parvez S, Lodha A, Ying E, Parvez B, Ishii R, Mizuno-Matsumoto Y, Zoroofi R A and Snead O C 2003 Wavelet analysis for neonatal electroencephalographic seizures Pediatr. Neurol. 29 326-33
17. Legido A, Clancy R R and Berman P H 1991 Neurologic outcome after electroencephalographically proven neonatal seizures Pediatrics 88 583-96
18. Liu A, Hahn J, Heldt G and Coen R 1992 Detection of neonatal seizures through computerized EEG analysis Electroenceph. Clin. Neurophysiol. 82 30-7
19. Marcel S and Millan J 2007 Person authentication using brainwaves (EEG) and maximum a posteriori model adaptation IEEE Trans. Pattern Anal. Mach. Intell. 29 743-52
20. McBride M C, Laroia N and Guillet R 2000 Electrographic seizures in neonates correlate with poor neurodevelopmental outcome Neurology 55 506-14
21. McNeil B, Keller E and Adelstein S 1975 Primer on certain elements of medical decision making N. Engl. J. Med. 293 211-5
22. Meng L, Frei M, Osorio I, Strang G and Nguyen T 2004 Gaussian mixture models of ECoG signal features for improved detection of epileptic seizures Med. Eng. Phys. 26 379-93
23. Mitra J, Glover J R, Ktonas P Y, Kumar A T, Mukherjee A, Karayiannis N B, Frost J D, Hrachovy R A and Mizrahi E M 2009 A multistage system for the automated detection of epileptic seizures in neonatal electroencephalography J. Clin. Neurophysiol. 26 218-26
24. Murray D M, Boylan G B, Ali I, Ryan C A, Murphy B P and Connolly S 2008 Defining the gap between electrographic seizure burden, clinical expression and staff recognition of neonatal seizures Arch. Dis. Child. Fetal Neonatal Ed. 93 187-91
25. Navakatikyan M A, Colditz P B, Bruke C J, Inder T E, Richmond J and Williams C E 2006 Seizure detection algorithm for neonates based on wave-sequence analysis Clin. Neurophysiol. 117 1190-203
26. Rennie J and Boylan G 2007 Treatment of neonatal seizures Arch. Dis. Child. Fetal Neonatal Ed. 92 148-50
27. Reynolds D A, Quatieri T F and Dunn R B 2000 Speaker verification using adapted Gaussian mixture models Digit. Signal Process. 10 19-41
28. Saab M and Gotman J 2005 A system to detect the onset of epileptic seizures in scalp EEG Clin. Neurophysiol. 116 427-42
29. Saliba R M, Annegers J F, Waller D K, Tyson J E and Mizrahi E 2001 Risk factors for neonatal seizures, a population-based study, Harris County, Texas, 1992-1994 Am. J. Epidemiol. 154 14-20
30. Shellhaas R and Clancy R 2007 Characterization of neonatal seizures by conventional EEG and single-channel EEG Clin. Neurophysiol. 118 2156-61
31. Sun S, Lan M and Lu Y 2008 Adaptive EEG signal classification using stochastic approximation methods Proc. 2008 IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP08) pp 413-6
32. Vapnik V 1982 Estimation of Dependences Based on Empirical Data (New York: Springer)
33. Zarjam P, Mesbah M and Boashash B 2003 Detection of newborn eeg seizure using optimal features based on discrete wavelet transform Proc. 2003 IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP03) pp 265-8
34. Zhu X, Wu J, Cheng Y and Wang Y 2006 GMM-based classification method for continuous prediction in brain-computer interface Proc. 18th Int. Conf. on Pattern Recognition (ICPR06) pp 1171-4
35. Zweig M and Campbell G 1993 Receiver operating characteristics (ROC) plots: a fundamental evaluation tool in clinical medicine Clin. Chem. 39 561-77