Title :
Classification of electrocardiogram in partial epilepsy
Author :
Sandy Rihana;Sarah Christina Matta
Author_Institution :
Biomedical Engineering Department, Holy Spirit University of Kaslik, Kaslik, Lebanon
Abstract :
Partial epilepsy is the result of an irregular and abnormal activity in the brain. Although it is principally located in the brain, affecting both the movement and the memory, the cardiac function can also be affected before, during and after the seizure. Consequently, the effect of the electric heart activity dysfunction can lead to patient mortality with epilepsy. The aim of this work is to extract features using ElectroCardioGram (ECG) in order to understand the relationship between irregular activity in the brain and the autonomic system. Afterwards, these features will be used to classify the electrocardiogram signals as correlated to normal or epileptic crisis.
Keywords :
"Electrocardiography","Epilepsy","Feature extraction","Heart beat","Biomedical engineering","Training"
Conference_Titel :
Advances in Biomedical Engineering (ICABME), 2015 International Conference on
Electronic_ISBN :
2377-5696
DOI :
10.1109/ICABME.2015.7323304