Absence Seizure Epilepsy Detection using linear and nonlinear EEG analysis methods

被引：0

作者：

Sakkalis, Vangelis ^{[1
]}

Giannakakis, Giorgos ^{[1
]}

Farmaki, Christina ^{[1
]}

Mousas, Abdou ^{[1
]}

Pediaditis, Matthew ^{[1
]}

Vorgia, Pelagia ^{[3
]}

Tsiknakis, Manolis ^{[2
]}

机构：

[1] Fdn Res & Technol, Inst Comp Sci, Iraklion 71110, Greece

[2] Technol Educ Inst Crete, Dept Appl Informat & Multimed, Iraklion, Greece

[3] Univ Crete, Fac Med, Dept Mother & Child Hlth, Iraklion, Greece

来源：

2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2013年

关键词：

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this study, we investigated three measures capable of detecting absence seizures with increased sensitivity based on different underlying assumptions. Namely, an information-based method known as Approximate Entropy, a nonlinear alternative (Order Index), and a linear variance analysis approach. The results on the long-term EEG data suggest increased accuracy in absence seizure detection achieving sensitivity as high as 97.33% with no further application of any sophisticated classification scheme.

引用

页码：6333 / 6336

页数：4

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