Epileptic With Complex Network Analyze And Electrial Stimilation Control

Recently the development of complex network dynamics accelerates the research of epilepsy. It is reported that epileptic seizures, diffusion and holding out are mostly due to the reciprocity of neuron network in the brain which functional connectivity with small world network characteristic. If we can full understand the functional connectivity of brain when epileptic seizures by complex network analysis methods, then, we will offer a new research approach for epileptic seizure prediction or controlling. It will great minimize risk or injury and right smart improve the quality of life for many people with epilepsy.Aiming at epileptic seizure mechanism, multi-channel epileptic seizure EEG recordings no matter real or simulated are studied and analyzed using complex network dynamical methods. The network dynamical changes of brain functional connectivity during different phases and coupling networks of the EEG recordings are analyzed, and the epileptic seizure mechanism is studied. In the end, a closed-loop electrical simulation epileptic seizure control system is advanced. We do the following work:Reconstruct a multi population Lumped-parameter neurons model, using complex network analysis methods validate the output EEG of lumped parameter neuron model under manifold coupling network forms in order to explain the brain functional connectivity mechanism once epileptic seizures occur. Multi-channel EEG recording of epilepsy patients are studied by bispectrum analysis method to pick-up the phase coupling information between any two channel EEG. By choosing proper threshold, we can get a coupling matrix. Complex network statistical method is used to get dynamical changes of the brain functional connectivity, and compared with the result of Lumped-parameter model output. Finally, the brain functional connectivitychanging rule when epileptic seizure occurs is acquired which provide theory groundwork for epileptic seizure mechanism analysis.A closed-loop electrical simulation epileptic seizure control system based on model free adaptive control is advanced which overcome the difficulties of parameter setup and nonlinear brain electrical activity modeling. This system can detect the output EEG recording in real time, automatic start the electrical simulation, keep the balance of neuron potential and control the epileptic seizure time.