Shahid, A. and Kamel, N. and Malik, A.S. and Jatoi, M.A. (2013) Epileptic seizure detection using the singular values of EEG signals. In: UNSPECIFIED.
Full text not available from this repository.Abstract
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. © 2013 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 23; Conference of 2013 7th ICME International Conference on Complex Medical Engineering, CME 2013 ; Conference Date: 25 May 2013 Through 28 May 2013; Conference Code:98395 |
Uncontrolled Keywords: | EEG recording; EEG signals; Epileptic seizure detection; Epileptic seizures; Seizure detectors; Singular values; Sliding Window; Sudden change, Biomedical engineering; Detectors; Electroencephalography; Electrophysiology; Neurodegenerative diseases; Neurophysiology; Pediatrics; Singular value decomposition, Signal detection |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:51 |
Last Modified: | 09 Nov 2023 15:51 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/3513 |