Quadratic time-frequency distribution selection for seizure detection in the newborn

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 923-926

  Stevenson, N ^a   Mesbah, M ^a   Boashash, B ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ENGINEERING; INDUSTRIAL ENGINEERING;

ABSOLUTE ERROR; OPTIMISATION PROCEDURES; QUADRATIC TIME-FREQUENCY; SEIZURE DETECTION; SIGNAL ENERGY; TIME FREQUENCY SIGNALS; TIME-FREQUENCY DISTRIBUTIONS; TIME-FREQUENCY REPRESENTATIONS;

ROBUSTNESS (CONTROL SYSTEMS);

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ELECTROENCEPHALOGRAPHY; HUMAN; METHODOLOGY; NEWBORN; REPRODUCIBILITY; SEIZURE; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; HUMANS; INFANT, NEWBORN; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SEIZURES; SENSITIVITY AND SPECIFICITY;

EID: 61849177957     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4649305     Document Type: Conference Paper

References (10)

1. J. S. Hahn and B. R. Tharp, "Neonatal and pediatric electroencephalography", in Electrodiagnosis in Clinical Neurology, M. Aminoff, New York: Churchill Livingstone, 1992.
2. L. Rankine, N. Stevenson, M. Mesbah and B. Boashash, "A nonstationary model of newborn EEG", IEEE Transactions on Biomedical Engineering, 54(1), pp. 19-28, January 2007.
3. B. Boashash and M. Mesbah, "Time-Frequency Methodology for Newborn EEG Seizure Detection", ch 9, in Applications in Time-Frequency Signal Processing, ed, A. Papandreou-Suppappola, Boca Raton: CRC Press, 2002.
4. B. Boashash, Time Frequency Signal Analysis and Processing: A Comprehensive Reference, Amsterdam: Elsevier, 2003.
5. H. Hassanpour, M. Mesbah and B. Boashash, "Time-frequency based newborn EEG seizure detection using low and high frequency signatures", Physiological Measurement, 25, pp. 935-944, 2004.
6. L. Rankine, M. Mesbah, B. Boashash, "Resolution analysis of the T-class of time-frequency distributions", in Proceedings of ISSPA '07, Sharkah, UAE, vol. 1, pp. 286-289, February 8th-12th 2007.
7. B.W. Gillespie and L.E. Atlas, "Optimizing time-frequency kernels for classification", IEEE Transactions on Signal Processing, 49 (3), pp. 485-496, March 2001.
8. M. Scher, M. Sun, D. Steppe, R. Guthrie, and R. Sclabassi, "Comparison of EEG spectral and correlation measures between healthy term and preterm infants", Pediatric Neurology, 10(2), pp. 104-108, 1994.
9. P.Z. Peebles, Probability, Random Variables and Random Signal Principles, 4th edition, Singapore: McGraw Hill, 2001
10. F. Lopes da Silva and A. Van Rotterdam, "Biophysical aspects of EEG and magnetoencephalogram generation", Ch. 05, in Electroencephalography: Basic Principles, Clinical Applications, and Related Fields, ed. E. Niedermeyer and F. H. Lopes da Silva, 5th edition, Williams & Wilkins: Baltimore, pp. 107-125, 2004.