Adaptive Neuro-Fuzzy Inference System for Classification of Background EEG Signals from ESES Patients and Controls
Joint Authors
Yang, Zhixian
Ouyang, Gaoxiang
Wang, Yinghua
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-25
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Background electroencephalography (EEG), recorded with scalp electrodes, in children with electrical status epilepticus during slow-wave sleep (ESES) syndrome and control subjects has been analyzed.
We considered 10 ESES patients, all right-handed and aged 3–9 years.
The 10 control individuals had the same characteristics of the ESES ones but presented a normal EEG.
Recordings were undertaken in the awake and relaxed states with their eyes open.
The complexity of background EEG was evaluated using the permutation entropy (PE) and sample entropy (SampEn) in combination with the ANOVA test.
It can be seen that the entropy measures of EEG are significantly different between the ESES patients and normal control subjects.
Then, a classification framework based on entropy measures and adaptive neuro-fuzzy inference system (ANFIS) classifier is proposed to distinguish ESES and normal EEG signals.
The results are promising and a classification accuracy of about 89% is achieved.
American Psychological Association (APA)
Yang, Zhixian& Wang, Yinghua& Ouyang, Gaoxiang. 2014. Adaptive Neuro-Fuzzy Inference System for Classification of Background EEG Signals from ESES Patients and Controls. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1048446
Modern Language Association (MLA)
Yang, Zhixian…[et al.]. Adaptive Neuro-Fuzzy Inference System for Classification of Background EEG Signals from ESES Patients and Controls. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1048446
American Medical Association (AMA)
Yang, Zhixian& Wang, Yinghua& Ouyang, Gaoxiang. Adaptive Neuro-Fuzzy Inference System for Classification of Background EEG Signals from ESES Patients and Controls. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1048446
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048446