Detection of seizures in newborns using time-frequency analysis of EEG signals

Author

Boashash, Boualem ; Carson, Helen ; Mesbah, Mostefa

Author_Institution

Signal Process. Res. Centre, Queensland Univ. of Technol., Brisbane, Qld., Australia

fYear

2000

fDate

2000

Firstpage

564

Lastpage

568

Abstract

This paper presents a time-frequency approach for electroencephalographic (EEG) seizure detection. The proposed method uses the high-resolution reduced interference B time-frequency distribution. An in-depth analysis of the seizure detection techniques of Gotman (frequency domain) (see Gotman et al., Electroenc. and Clin. Neurophysy., 103, pp.363-9, 1997) and Liu (time domain) (see Liu et al., Electroenc. and Clin. Neurophysy., 82, pp.30-7, 1992) has been performed in order to compare with the detection criteria used in the time-frequency domain. Both synthetic and real neonatal EEG signals have been used for testing

Keywords

electroencephalography; medical signal detection; medical signal processing; paediatrics; time-frequency analysis; B-distribution; EEG signals; electroencephalographic seizure detection; frequency domain analysis; neonatal EEG signals; newborns; time domain analysis; time-frequency analysis; Brain; Electrodes; Electroencephalography; Frequency domain analysis; Pediatrics; Performance analysis; Signal processing; Testing; Time domain analysis; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on

Conference_Location

Pocono Manor, PA

Print_ISBN

0-7803-5988-7

Type

conf

DOI

10.1109/SSAP.2000.870188

Filename

870188