DocumentCode :
2435595
Title :
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
Link To Document :
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