Epileptic Seizure Detection Using Machine Learning Techniques

View Sample PDF

Author(s): Can Eyupoglu (Air Force Academy, National Defence University, Turkey)
Copyright: 2021
Pages: 14
Source title: Diagnostic Applications of Health Intelligence and Surveillance Systems
Source Author(s)/Editor(s): Divakar Yadav (National Institute of Technology, Hamirpur, India), Abhay Bansal (Amity University, India), Madhulika Bhatia (Amity University, India), Madhurima Hooda (Amity University, India)and Jorge Morato (Universidad Carlos III de Madrid, Spain)
DOI: 10.4018/978-1-7998-6527-8.ch009

Keywords: Artificial Intelligence / Computer Science & IT / Medical Information Science Reference / Medical Technologies

Purchase

View Epileptic Seizure Detection Using Machine Learning Techniques on the publisher's website for pricing and purchasing information.

Abstract

Epilepsy is a brain disorder that can be defined as a short-time and temporary occurrence of symptoms because of abnormal extreme or synchronous neuronal activity of the brain. Almost one percent of the world's population is struggling with epilepsy illness. The detection of epileptic seizures is mainly realized with reading the electroencephalogram (EEG) recordings by medical doctors due to the unpredictable and complex nature of the disease. This process takes much time and depends on the expert's experience. For this reason, automatic seizure detection using EEG recordings is necessary and of great importance for the comfort of medical doctors and patients. While detecting epileptic seizure automatically, machine learning techniques are used in the field of computer science. This chapter deals with the methods, approaches, models, and techniques which are utilized to detect epileptic seizures.

The IRMA Community

Research IRM

Epileptic Seizure Detection Using Machine Learning Techniques

Purchase

Abstract

Related Content

IRMA Sponsors