Epileptic seizure detection using the singular values of EEG signals

Shahid, Arslan and Kamel, Nidal and Malik, Aamir Saeed and Jatoi, Munsif Ali (2013) Epileptic seizure detection using the singular values of EEG signals. In: 2013 ICME International Conference on Complex Medical Engineering, May 25 - 28, 2013, Beijing, China.


Official URL: http://dx.doi.org/10.1109/ICCME.2013.6548330


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.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RJ Pediatrics
R Medicine > RZ Other systems of medicine
T Technology > T Technology (General)
Academic Subject One:Academic Department - Electrical And Electronics - Communications - Digital Communications - Digital Signal Processing
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Research Institutes > Institute for Health Analytics
ID Code:10822
Deposited By: Dr Aamir Saeed Malik
Deposited On:16 Dec 2013 23:48
Last Modified:16 Dec 2013 23:48

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