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

被引：16

作者：

Boashash, B ^{[1
]}

Carson, H ^{[1
]}

Mesbah, M ^{[1
]}

机构：

[1] Queensland Univ Technol, SPRC, Brisbane, Qld 4001, Australia

来源：

PROCEEDINGS OF THE TENTH IEEE WORKSHOP ON STATISTICAL SIGNAL AND ARRAY PROCESSING | 2000年

关键词：

D O I：

10.1109/SSAP.2000.870188

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a time-frequency approach for electroen-cephalographic (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) and Liu (time domain) 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.

引用

页码：564 / 568

页数：5

共 5 条

[1]

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[2]

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Gotman, J ;

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[4] DETECTION OF NEONATAL SEIZURES THROUGH COMPUTERIZED EEG ANALYSIS [J].

LIU, A ;

HAHN, JS ;

HELDT, GP ;

COEN, RW .

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[5]

ROESSGEN M, 1998, IEEE T BIOMED ENG, V45

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