Abstract
Epilepsy is a physical condition that occurs when there is a sudden, brief change in the normal working of brain. At this time, the brain cells are unable to function properly and the level of consciousness, movement etc. may get affected. These physical changes occur due to the hyper-synchronous firing of neurons within the brain. Most of the existing methods to analyze epilepsy depend on visual inspection of EEG recording of patients by experts who are very small in number. Also this method takes more time in diagnosis of epilepsy since EEG recording creates very lengthy data. This makes automatic seizure detection necessary. In this study a method to detect the onset of seizures is proposed in which the latency in detecting the onset has been decreased very much. The proposed method detected the onset of seizures with the mean latency of 0.70 seconds when applied on CHB-MIT scalp EEG database.
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Khan, Y.U., Farooq, O., Sharma, P., Rafiuddin, N. (2012). Latency Study of Seizure Detection. In: Wyld, D., Zizka, J., Nagamalai, D. (eds) Advances in Computer Science, Engineering & Applications. Advances in Intelligent and Soft Computing, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30157-5_14
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DOI: https://doi.org/10.1007/978-3-642-30157-5_14
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