Morteza Zabihi Patient-specific Epileptic Seizure Detection in Long- Term Eeg Recording in Paediatric Patients with In- Tractable Seizures
نویسنده
چکیده
TAMPERE UNIVERSITY OF TECHNOLOGY Master Degree Programme in Biomedical Engineering Zabihi, Morteza: Patient-specific epileptic seizure detection in long-term EEG recording in paediatric patients with intractable seizures Master of Science Thesis, 61 pages March 2013 Major: Medical Informatics Examiner: Professor Serkan Kiranyaz, Professor Turker Ince, Professor Moncef Gabbouj
منابع مشابه
Optimized Seizure Detection Algorithm: A Fast Approach for Onset of Epileptic in EEG Signals Using GT Discriminant Analysis and K-NN Classifier
Background: Epilepsy is a severe disorder of the central nervous system that predisposes the person to recurrent seizures. Fifty million people worldwide suffer from epilepsy; after Alzheimer’s and stroke, it is the third widespread nervous disorder.Objective: In this paper, an algorithm to detect the onset of epileptic seizures based on the analysis of brain electrical signals (EEG) has b...
متن کاملPrediction of Epileptic Seizures in Patients with Temporal Lobe Epilepsy (TLE) based on Cepstrum analysis and AR model of EEG signal
Epilepsy is a chronic disorder of brain function caused by abnormal and excessive electrical neurons discharge in the brain. Seizures cause disturbances in consciousness that occur without prior notice, so their prediction ability, based on EEG data, can reduce stress and improve quality of life. An epileptic patient EEG data consists of five parts: Ictal, Inter-Ictal, pre-Ictal, Post-Ictal, an...
متن کاملP81: Detection of Epileptic Seizures Using EEG Signal Processing
Epilepsy is the most common brain diseases that cause many problems in the daily life of the patient. In most attempts to automatic detection, the attack used an EEG. In this paper, The complete data set consists of five sets recorded from normal and epileptic patients. Each set containing 100 single-channel EEG segments. Here we used first and last sets (A and E). Set A consisted of segments r...
متن کاملEpileptic Seizure Detection in EEG signals Using TQWT and SVM-GOA Classifier
Background: Epilepsy is a Brain disorder disease that affects people's quality of life. If it is diagnosed at an early stage, it will not be spread. Electroencephalography (EEG) signals are used to diagnose epileptic seizures. However, this screening system cannot diagnose epileptic seizure states precisely. Nevertheless, with the help of computer-aided diagnosis systems (CADS), neurologists ca...
متن کاملEpileptic Seizure Detection Using Higher Order Moments on Eeg Signals
Brain disorders include Alzheimer’s disease, learning disability, traumatic brain injury, stroke, emotional disorders, seizures, attention deficit disorder, etc....Seizures occasionally known as a ‘fit’ are most commonly occurring brain disorder among humans. Sometimes, a person may have seizure without aura. It is very tedious and expensive to have a person constantly observe each patient and ...
متن کامل