Epileptic Seizure Detection using the Singular Values of EEG Signals

被引：0

作者：

Shahid, Arslan ^{[1
]}

Kamel, Nidal ^{[1
]}

Malik, Aamir Saeed ^{[1
]}

Jatoi, Munsif Ali ^{[1
]}

机构：

[1] Univ Teknol PETRONAS, Dept Elect & Elect Engn, Ctr Intelligent Signal & Imaging Res, Tronoh, Malaysia

来源：

2013 ICME INTERNATIONAL CONFERENCE ON COMPLEX MEDICAL ENGINEERING (CME) | 2013年

关键词：

Electroencephalography (EEG); Singular Value Decomposition (SVD); Epileptic Seizures; PATIENT; ONLINE; SYSTEM; ONSET;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

A new technique based on Singular Value Decomposition (SVD) for the detection of epileptic seizures is proposed. The SVD is applied sequentially on a sliding window of one second width of EEG data and the r singular values are obtained and used to indicate sudden changes in the signals. EEG recordings of 4-paediatric patients with 20 seizures are used to validate the proposed algorithm and the preliminary results indicates good level of sensitivity by the singular values to the changes in the EEG signals due to epileptic seizure. This sensitivity can be used to develop more reliable seizure detector than the existing techniques.

引用

页码：652 / 655

页数：4

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