Wavelet analysis for neonatal electroencephalographic seizures

Kitayama, Masaomi; Otsubo, Hiroshi; Parvez, Shahid; Lodha, Abhay; Ying, Ethel; Parvez, Boriana; Ishii, Ryouhei; Mizuno-Matsumoto, Yuko; Zoroofi, Reza A; Snead, O.Carter

doi:10.1016/S0887-8994(03)00277-7

« Previous Next »Pediatric Neurology
Volume 29, Issue 4 , Pages 326-333, October 2003

Wavelet analysis for neonatal electroencephalographic seizures

Masaomi Kitayama, ME
- Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada
Hiroshi Otsubo, MD
- Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Communications should be addressed to: Dr. Otsubo; Division of Neurology, Department of Paediatrics; The Hospital for Sick Children; 555 University Avenue; Toronto, Ontario M5G 1X8, Canada.
Shahid Parvez, MD
- Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada
Abhay Lodha, MD
- Division of Neonatology, Department of Paediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada
Ethel Ying, MD
- Division of Neonatology, Department of Paediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada
Boriana Parvez, MD
- Division of Neonatology, Department of Paediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada
Ryouhei Ishii, MD, PhD
- Rotman Research Institute, Baycrest Centre for Geriatric Care, Toronto, Ontario, Canada
Yuko Mizuno-Matsumoto, MD, PhD
- Department of Information System Engineering, Graduate School of Engineering, Osaka University, Osaka, Japan
- Division of Functional Diagnostic Imaging and Department of Neuropsychiatry, Osaka University Medical School, Osaka, Japan
- Department of Human Welfare and Department of Child Education, Osaka Jonan Women’s College, Osaka, Japan
Reza A Zoroofi, PhD
- Department of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Islamic Republic of Iran
O.Carter Snead III, MD
- Division of Neurology, Department of Paediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada

Received 21 January 2003; accepted 14 May 2003.

Abstract

Electroencepholographs (EEGs) of neonatal seizures differ from those of children and adults. This study evaluated whether wavelet transform analysis, a nonstationary frequency analysis of EEG, can recognize and characterize neonatal seizures. Twenty-second segments were analyzed from 69 EEG seizures in 15 neonatal patients whose seizures lasted 10 seconds or longer. The wavelet transform results were examined, as were EEG seizure durations and dominant frequencies. The wavelet transform results were correlated with the occurrence, after an 18-month follow-up, of postneonatal seizures. Wavelet transform analysis identified 40 seizures (58%) with a “sustained dominant frequency component” that lasted 10 seconds or longer and 29 seizures without a sustained dominant frequency component. The mean seizure duration of the 40 seizures with sustained dominant frequency components was 63.3 seconds, longer than the mean duration (33.6 seconds) of the seizures without sustained dominant frequency components, P < 0.01. Eleven patients manifested postneonatal epileptic seizures. Fifty-two EEG seizures in these 11 patients revealed more sustained dominant frequency components (74%) than 17 seizures in the 4 patients without postneonatal seizures (only 12%), P < 0.05. Wavelet transform analysis can identify neonatal EEG seizures and characterize their epileptic components. The presence of sustained dominant frequency components may predict postneonatal epileptic seizures.Kitayama M, Otsubo H, Parvez S, Lodha A, Ying E, Parvez B, Ishii R, Mizuno-Matsumoto Y, Zoroofi RA, Snead OC III. Wavelet analysis for neonatal electroencephalographic seizures.