Abstract
One of the main areas of behavioural neuroscience is forecasting the human behaviour. Epilepsy is a central nervous system disorder in which nerve cell activity in the brain becomes disrupted, causing seizures or periods of unusual behaviour, sensations and sometimes loss of consciousness. An estimated 5% of the world population has epileptic seizure but there is not any method to cure it. More than 30% of people with epilepsy cannot control seizure. Epileptic seizure prediction, refers to forecasting the occurrence of epileptic seizures, is one of the most important but challenging problems in biomedical sciences, across the world. In this research we propose a new methodology which is based on studying the EEG signals using two measures, the Hurst exponent and fractal dimension. In order to validate the proposed method, it is applied to epileptic EEG signals of patients by computing the Hurst exponent and fractal dimension, and then the results are validated versus the reference data. The results of these analyses show that we are able to forecast the onset of a seizure on average of 25.76 seconds before the time of occurrence.
Highlights
An epileptic seizure is a brief episode of signs and/ or symptoms due to abnormal excessive or synchronous neuronal activity in the brain
In case of subject 1 and subject 2, the value of the Hurst exponent is decreasing in the time span of t = 1 s to t = 1.118 s and t = 1 s to t = 1.127 s respectively; After www.impactjournals.com/oncotarget that, a sudden upward deflection can be seen, which stands for experiencing the visual stimulus and increasing the memory, and again the trend shows the same behaviour
In order to investigate about the onset of seizures, the EEG records and their Hurst exponent and fractal dimension plots are studied for subjects with epilepsy
Summary
An epileptic seizure is a brief episode of signs and/ or symptoms due to abnormal excessive or synchronous neuronal activity in the brain. In case of subject 1 and subject 2, the value of the Hurst exponent is decreasing in the time span of t = 1 s to t = 1.118 s and t = 1 s to t = 1.127 s respectively; After www.impactjournals.com/oncotarget that, a sudden upward deflection can be seen, which stands for experiencing the visual stimulus and increasing the memory, and again the trend shows the same behaviour. In order to investigate about the onset of seizures, the EEG records and their Hurst exponent and fractal dimension plots are studied for subjects with epilepsy.
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