Journal of Guangxi Normal University(Natural Science Edition) ›› 2015, Vol. 33 ›› Issue (2): 29-35.doi: 10.16088/j.issn.1001-6600.2015.02.005

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Analysis of Depression Electroencephalogram Basedon Statistics Distribution Entropy

WANG Kai-ming1,2,3, ZHOU Hai-yan1,2,3, GUO Jia-liang1,2,3,
YANG Xiao-jing1,2,3, WANG Gang4, ZHONG Ning1,2,3   

  1. 1. International WIC Institute, Beijing University of Technology, Beijing 100124, China;
    2. Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics,Beijing 100124, China;
    3. Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing 100124, China;
    4. Beijing Anding Hospital, Beijing 100088, China
  • Received:2015-01-03 Online:2015-02-10 Published:2018-09-20

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Abstract: A method is proposed to calculate and analyze electroencephalogram to improve the situation in which there is an emergency for the effective quantitative parameters for mental disorders. The method first defines a statistics distribution entropy to describe the state distribution of brain electrical activity, which can calculate and analyze the state difference of it. The entropy is applied to numerical calculation of electroencephalogram signal between depression patients and normal control group. Meanwhile, the difference is compared between them. The experiment shows that the statistics distribution entropy in depression patients is significantly greater than that of the normal healthy people in some brain regions. Further analysis proves that the entropy can be used as a parameter to measure the state distribution of brain electrical activity and to analyze its difference. The analysis also tells that the entropy plays an important role in diagnosis of other mental disorder.

Key words: statistics distribution entropy, electroencephalogram, depression

CLC Number: 

  • TP391.4
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