Alberto Faedda
Automatic Identification of Spike and Waves in the EEG of Epileptic Patients.
Rel. Luca Mesin. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2020
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (3MB) | Preview |
Abstract
Reading an EEG by neurologists, to diagnose epilepsy or to evaluate pathological events that contribute to the diagnosis, is very time consuming. A pathological event of the EEG that is indicative of epilepsy is the spike and wave. The objective of the study is the creation of an epileptic spike and waves detector based on a set of matched filters to support the diagnosis of epilepsy through a tool capable of detecting pathological waveforms in the EEG signal.
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
URI
![]() |
Modifica (riservato agli operatori) |
