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Received: 2008-10-06

Revision Accepted: 2009-02-11

Crosschecked: 2009-08-14

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Journal of Zhejiang University SCIENCE A 2009 Vol.10 No.10 P.1483-1491

http://doi.org/10.1631/jzus.A0820690


Detecting stable phase structures in EEG signals to classify brain activity amplitude patterns


Author(s):  Yusely RUIZ, Guang LI, Walter J. FREEMAN, Eduardo GONZALEZ

Affiliation(s):  Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   yuselyrg79@yahoo.es, guangli@zju.edu.cn

Key Words:  Electroencephalograms (EEG), Spatial-temporal pattern, Stable phase structure, Frames


Yusely RUIZ, Guang LI, Walter J. FREEMAN, Eduardo GONZALEZ. Detecting stable phase structures in EEG signals to classify brain activity amplitude patterns[J]. Journal of Zhejiang University Science A, 2009, 10(10): 1483-1491.

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author="Yusely RUIZ, Guang LI, Walter J. FREEMAN, Eduardo GONZALEZ",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A0820690"
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%T Detecting stable phase structures in EEG signals to classify brain activity amplitude patterns
%A Yusely RUIZ
%A Guang LI
%A Walter J. FREEMAN
%A Eduardo GONZALEZ
%J Journal of Zhejiang University SCIENCE A
%V 10
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0820690

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T1 - Detecting stable phase structures in EEG signals to classify brain activity amplitude patterns
A1 - Yusely RUIZ
A1 - Guang LI
A1 - Walter J. FREEMAN
A1 - Eduardo GONZALEZ
J0 - Journal of Zhejiang University Science A
VL - 10
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SP - 1483
EP - 1491
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Y1 - 2009
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A0820690


Abstract: 
Obtaining an electrocorticograms (ECoG) signal requires an invasive procedure in which brain activity is recorded from the cortical surface. In contrast, obtaining electroencephalograms (EEG) recordings requires the non-invasive procedure of recording the brain activity from the scalp surface, which allows EEG recordings to be performed more easily on healthy humans. In this work, a technique previously used to study spatial-temporal patterns of brain activity on animal ECoG was adapted for use on EEG. The main issues are centered on solving the problems introduced by the increment on the interelectrode distance and the procedure to detect stable frames. The results showed that spatial patterns of beta and gamma activity can also be extracted from the EEG signal by using stable frames as time markers for feature extraction. This adapted technique makes it possible to take advantage of the cognitive and phenomenological awareness of a normal healthy subject.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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