Name: JADE BARBOSA KILL
Type: PhD thesis
Publication date: 18/04/2022
Advisor:
Name |
Role |
|---|---|
| PATRICK MARQUES CIARELLI | Advisor * |
Examining board:
| Name |
Role |
|---|---|
| EVANDRO OTTONI TEATINI SALLES | Internal Examiner * |
| PATRICK MARQUES CIARELLI | Advisor * |
Summary: Epilepsy is a brain disorder characterized by recurrent unprovoked seizures. The unpredictability of seizures negatively affects the lives of patients, causing insecurity in daily activities and may cause injury or even death. Seizure prediction can prevent, through medication or safe preparation, a series of psychological, social and physical problems that are direct consequences of this disease, such as accidents and mental disorders. This work presents a proposal to generalized seizure prediction online using the microstate analysis approach in Electroencephalogram (EEG) signals. A method that has been little explored
in epilepsy studies, but has great potential to generate good results. In the experiments performed, a sensitivity of 100% was achieved, which means that it was possible to predict all the seizures analyzed without false alarms. This proposal contributes significantly to the development of portable device, with the reduction in the number of electrodes, capable of predicting when an epileptic seizure will occur, thus increasing the quality of life of patients with this mental disorder.
