Epilepsy Detection using GSM and Real Time EEG Device

Abstract

Epilepsy is a type of brain activity that momentarily interferes with a brain's ability to function normally. A hereditary condition or a traumatic brain injury may cause epilepsy. The Electroencephalogram (EEG) signal is the name given to brain waves. Different EEG signal characteristics are needed for medication. The energy, standard deviation, and Shannon entropy of EEG waves can be used to identify epilepsy. Medications, surgery, neurostimulation, and dietary changes are frequently used to treat epilepsy.

Four frequency components are identified after decomposing EEG signals. According to a report by the World Health Organization (WHO), epilepsy affects more than fifty million people worldwide. The time-frequency domain coefficients of EEG signals were segmented up to the sixth level of wavelet packet decomposition. Proposed EEG gadget connected to a buzzer, GSM module, and DSP processor. Utilized MATLABKeywords:  EEG, SVM, GSM, Wavelet transform, MATLAB & DSP