Multiple feature extraction and classification of electroencephalograph signal for Alzheimers' with spectrum and bispectrum-Reference-Cited by-同舟云学术

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Multiple feature extraction and classification of electroencephalograph signal for Alzheimers' with spectrum and bispectrum

Published:2015-01 Issue:1 Volume:25 Page:013110
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Wang Ruofan¹,Wang Jiang¹,Li Shunan¹,Yu Haitao¹,Deng Bin¹,Wei Xile¹

Affiliation:

1. School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China

Funder

Jilin Provincial Natural Science Foundation

Tianjin Municipal Natural Science Foundation

National Natural Science Foundation of China (NSFC)

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4906038

Reference50 articles.

1. Diagnosis of Alzheimers Disease from EEG Signals: Where Are We Standing?

2. Pathways towards and away from Alzheimer's disease

3. Slowing and Loss of Complexity in Alzheimer's EEG: Two Sides of the Same Coin?

4. The Diagnostic Value of EEG in Alzheimer Disease

5. Alzheimer's Disease: Models of Computation and Analysis of EEGs

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