Alternative Form of Ordinary Differential Equation of Electroencephalography Signals During an Epileptic Seizure


  • Ameen Omar Barja Current: Seiyun University, Hadhramaut, Yemen Previously: Ibnu Sina Institute for Fundamental Science Studies, UTM 81310 Skudai, Malaysia



EEG signals, ODE, Initial time


One of the most important fields in clinical neurophysiology is an electroencephalogram (EEG). It is a test used to detect problems related to the brain electrical activity, and it can track and records patterns of brain waves. EEG continues to play an essential role in diagnosis and management of patients with epileptic seizure disorders. Nevertheless, the outcome of EEG as a tool for evaluating epileptic seizure is often interpreted as a noise rather than an ordered pattern. The mathematical modelling of EEG signals provides valuable data to neurologists, and is heavily utilized in the diagnosis and treatment of epilepsy. EEG signals during the seizure can be modeled as ordinary differential equation (ODE). In this study we will present an alternative form of ODE of EEG signals through the seizure.

Author Biography

Ameen Omar Barja, Current: Seiyun University, Hadhramaut, Yemen Previously: Ibnu Sina Institute for Fundamental Science Studies, UTM 81310 Skudai, Malaysia

Department of Mathematics


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