Rule-Base Wearable Embedded Platform for Seizure Detection from Real EEG Data in Ambulatory State

• Main Authors: Mohamed, Shakir, Malik, Aamir Saeed, Kamel , Nidal, Qidwai, Uvais
• Format: Conference or Workshop Item
• Published: 2014
• Subjects: Q Science (General); T Technology (General)
• Online Access: http://eprints.utp.edu.my/11426/1/Rule-Base%20Wearable%20Embedded%20Platform%20for%20Seizure%20Detection%20from%20Real%20EEG%20Data%20in%20Ambulatory%20State%20-%20Paper.pdf; http://eprints.utp.edu.my/11426/
• Institution: Universiti Teknologi Petronas

This paper describes a classification method is presented using an empirical Rule-base System to detect the occurrences of Partial Seizures from Epilepsy data, which can be implemented in any embedded system as a wearable detection system. The system distinguishes between 'Normal' and ...