Automated Detection of Epileptic EEG Signals using Recurrence Plots based Feature Extraction with Transfer Learning

Autor: Sachin Goel, Rajeev Agarwal, R.P. Bharti
Rok vydání: 2022
Popis: “Epilepsy” is the common neurological brain disorder that is affects the human being at any stage of life. About 1-2% of the world’s population affected by this major chronic disorder. Electroencephalogram (EEG) signal is the most important tool for the early detection of the epileptic seizure in several applications of epilepsy diagnosis. Electroencephalogram (EEG) signals can be categorized in Epileptic and Non epileptic as per epilepsy seizures. Recent research has carried out various ppossibilities of predicting & analyzing epileptic seizures by mainly using two approaches: Conventional methods using signal processing and Deep learning based methods.
Databáze: OpenAIRE