NDLI: Analysis of Neonatal EEG Signals using Stockwell Transform

Content Provider	IEEE Xplore Digital Library
Author	Kok-Kiong Poh Marziliano, P.
Copyright Year	2007
Description	Author affiliation: Nanyang Technol. Univ., Singapore (Kok-Kiong Poh; Marziliano, P.)
Abstract	In this paper, we investigate the Stockwell transform, a linear time-frequency spectral localisation technique, on non-stationary, multicomponent neonatal seizure EEG signals. The seizure signals of interest are namely slow wave and sharp spike seizures. The performance of Stockwell transform is compared to that of existing quadratic time-frequency representation, namely the Choi-Williams Distribution and the B Distribution, on both simulated and real EEG seizure signals. The results show that the Stockwell Transform yields distinctive, interference free time-frequency patterns corresponding to the neonatal EEG seizure signals. By capturing both high- frequency spike components and predominantly low frequency components of neonatal seizures concurrently and accurately, the Stockwell Transform is able to distinguish these two types of neonatal seizure signals with unique signatures. These signatures can then be effectively used for seizure modelling, detection and prediction.
Starting Page	594
Ending Page	597
File Size	880231
Page Count	4
File Format	PDF
ISBN	9781424407873
ISSN	1557170X
DOI	10.1109/IEMBS.2007.4352360
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal analysis Pediatrics Electroencephalography Time frequency analysis Continuous wavelet transforms Brain modeling Signal resolution Wavelet transforms Interference Fourier transforms
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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