Epileptic Seizure Detection using the Singular Values of EEG Signals

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.

关键词： Electroencephalography(EEG) Singular Value Decomposition(SVD) Epileptic Seizures

作者: Arslan Shahid Nidal Kamel Aamir Saeed Malik Munsif Ali Jatoi

作者单位: Center for Intelligent Signal & Imaging Research Department of Electrical and Electronics Engineering Universiti Teknologi PETRONAS, Malaysia

会议类型: 国际会议

会议名称: 2013 ICME International Conference on Complex Medical Engineering(2013 ICME复合医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 652-655

在线出版日期: 2013-05-25（万方平台首次上网日期，不代表论文的发表时间）