A system for epileptic seizure focus detection based on EEG analysis

Authors:
Maria Jose Santofimia Romero;Xavier del Toro;Jesús Barba;Julio Dondo;Francisca Romero;Patricia Navas;Ana Rubio;Juan Carlos López
Affiliations:
Computer Architecture and Network Group, School of Computing Science, University of Castilla-La Mancha, Spain;Computer Architecture and Network Group, School of Computing Science, University of Castilla-La Mancha, Spain;Computer Architecture and Network Group, School of Computing Science, University of Castilla-La Mancha, Spain;Computer Architecture and Network Group, School of Computing Science, University of Castilla-La Mancha, Spain;Neuroscience Institute, Hospital Regional Universitario Carlos Haya, Malaga, Spain;Neuroscience Institute, Hospital Regional Universitario Carlos Haya, Malaga, Spain;Neuroscience Institute, Hospital Regional Universitario Carlos Haya, Malaga, Spain;Computer Architecture and Network Group, School of Computing Science, University of Castilla-La Mancha, Spain
Venue:
UCAmI'12 Proceedings of the 6th international conference on Ubiquitous Computing and Ambient Intelligence
Year:
2012

Citing 4
Cited 0

Text Categorization with Suport Vector Machines: Learning with Many Relevant Features

ECML '98 Proceedings of the 10th European Conference on Machine Learning
Seizure prediction methods: assessment and comparison of three methods by means of the seizure prediction characteristic

Quantitative neuroscience
On-line Detection of Patient Specific Neonatal Seizures using Support Vector Machines and Half-Wave Attribute Histograms

CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2 (CIMCA-IAWTIC'06) - Volume 02
Are current monocular computer vision systems for human action recognition suitable for visual surveillance applications?

ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work presents a recognition system for epileptiform abnormalities based on electroencephalogram (EEG) analysis. The proposed system combines a Support Vector Machine classifier automatically trained by an implementation of machine learning approach known as Bag of Words.