Classification of epileptic EEG data using multidimensional scaling

摘要：

A methodology is proposed and developed for epileptic seizures prediction through multifeatures extracted from EEG, and submitted to space reduction. Concepts from energy, frequency-time, and nonlinear dynamics are used to obtain the set of 14 features. Multidimensional scaling is used for space reduction from high dimensional to three dimensional space, in the VISRED platform. Results show the potentiality of this methodology. A computational system with an algorithms base and a data base, under development, is briefly sketched, in order to allow to face the high variability of biological systems.

关键词： EEG processing multidimensional scaling seizure prediction epilepsy seizures data mining

作者: Bruno Direito António Dourado Marco Vieira Francisco Sales

作者单位: Centro de Informática e Sistemas da Universidade de Coimbra Department of Informatics Engineering Po Hospitais of the University of Coimbra Epilepsy Clinic, Praceta Mota Pinto 3000 Coimbra, Portugal

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 551-555

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）