Seizure classification in EEG signals utilizing Hilbert-Huang transform

BioMedical Engineering Online

Volumn 10, Issue , 2011, Pages

  Oweis, Rami J ^a   Abdulhay, Enas W ^a  

^a JORDAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Jordan)

Author keywords

[No Author keywords available]

Indexed keywords

AVERAGE VALUES; BRAIN IMAGING; BRAIN SIGNALS; CLASSIFICATION ALGORITHM; CLASSIFICATION METHODS; COMPARISON RESULT; DIAGNOSTIC TOOLS; EEG SIGNAL PROCESSING; EEG SIGNALS; ELECTROCHEMICAL ACTIVITIES; EMPIRICAL MODE DECOMPOSITION; EUCLIDEAN; FAST RESPONSE; HARD TASK; HILBERT HUANG TRANSFORMS; INTRINSIC FUNCTIONS; LOCAL INFORMATION; LOW COSTS; P-VALUES; SENSITIVITY AND SPECIFICITY; SYNCHRONOUS DISCHARGE; USER FRIENDLY;

MATHEMATICAL TRANSFORMATIONS; SIGNAL PROCESSING;

BRAIN;

ARTICLE; CASE CONTROL STUDY; ELECTROENCEPHALOGRAPHY; HUMAN; METHODOLOGY; SEIZURE; SIGNAL PROCESSING;

CASE-CONTROL STUDIES; ELECTROENCEPHALOGRAPHY; HUMANS; SEIZURES; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 79956288045     PISSN: 1475925X     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-10-38     Document Type: Article

References (19)

1. Oweis R, Hijazi L. A computer-aided ECG diagnostic tool. computer Methods and Programs in Biomedicine 2006, 81(3):279-284. 10.1016/j.cmpb.2006.01.003, 16488052.
2. Qu H, Gotman J. A patient-specific algorithm for the detection of seizure onset in long-term EEG monitoring: possible use as a warning device. IEEE Transactions in Biomedical Engineering 1997, 44:115-122.
3. Liu A, Hahn JS, Heldt GP, Coen RW. Detection of neonatal seizures through computerized EEG analysis. Electroencephalography and Clinical Neurophysiology 1992, 82:30-37. 10.1016/0013-4694(92)90179-L, 1370141.
4. Martinerie J, Adam C, Le Van Quyen M, Baulac M, Clemenceau S, Renault B, Varela FJ. Epileptic seizures can be anticipated by non-linear analysis. Nature Medicine 1998, 4:1173-1176. 10.1038/2667, 9771751.
5. Le Van Quyen M, Martinerie J, Navarro V, Boon P, Michel D, Adam C, Renault B, Varela F, Baulac M. Anticipation of epileptic seizures from standard EEG recordings. The Lancet 2001, 357:183-188.
6. Pachori RB. Discrimination between ictal and seizure free EEG signals using empirical mode decomposition. Research Letters in Signal Processing 2008, (13).
7. Nquyen DP, Barbeiri R, Wilson MA, Brown EN. Instantaneous frequency and amplitude modulation of EEG in the hippocampus reveals state dependent temporal structure. Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE 2008, 1711-1715.
8. Hochstadt H. The convergence of Fourier-Bessel series. Siam Review 1969, 9(2):211.
9. Melges1 DB, Infantosi1 AFC, Ferreira1 FR, Rosas DB. Using the Discrete Hilbert Transform for the comparison between Tracé Alternant and High Voltage Slow patterns extracted from full-term neonatal EEG. IFMBE Proceedings 14/2:1111-1114.
10. Zaena JV. Adaptive tracking of EEG oscillations. Neuroscience Methods 2010, 186:97-106.
11. Rehman N, Mandic DP. Multivariate Empirical Mode Decomposition. Proceedings - Royal Society A 2010, 466(2117):1291-1302.
12. Rehman N, Xia Y, Mandic DP. Application of Multivariate empirical mode decomposition for seizure detection in EEG signals. Conf Proc IEEE Eng Med Biol Soc 2010, 1:1650-3.
13. Rilling G, Flandrin P, Gonçalves P, Lilly JM. Bivariate Empirical Mode Decomposition. IEEE Signal Processing Letters 2007, 1-10.
14. Tzallas AT, Tsipouras MG, Fotiadis DI. Automatic seizure detection based on time-frequency analysis and artificial neural networks. Journal Computational Intelligence and Neuroscience 2007,
15. Deering R, Kaiser JF. The use of a masking signal to improve empirical mode decomposition. ICASSP 2005, 485-488.
16. Kschischang FR. The Hilbert Transform. 2006, University of Toronto.
17. Huang NE, Shen Z, Long SR, Wu MC, Shin HH, Zheng Q, Yen N-C, Tung CC, Liu HH. The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis. 1998, 454:903-995. Proceedings - Royal Society. Mathematical, physical and engineering sciences.
18. Andrzejak RG, Lehnertz K, Rieke C, Mormann F, David P, Elger CE. Indications of nonlinear deterministic and finite dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state. Phys Rev E 2001, 64:061907.
19. Rilling G, Flandrin P, Gonçalvès P. On empirical mode decomposition and its algorithms. IEEE-EURASIP Workshop on Nonlinear Signal and Image processing 2003,