Construction and Application of Functional Brain Network Based on Entropy
Department of Computer, Nanchang University, Nanchang 330029, China
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Entropy 2020, 22(11), 1234; https://doi.org/10.3390/e22111234
Received: 21 July 2020
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Revised: 15 October 2020
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Accepted: 27 October 2020
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Published: 30 October 2020
(This article belongs to the Special Issue Multiscale Entropy Approaches and Their Applications II)
Functional brain network (FBN) is an intuitive expression of the dynamic neural activity interaction between different neurons, neuron clusters, or cerebral cortex regions. It can characterize the brain network topology and dynamic properties. The method of building an FBN to characterize the features of the brain network accurately and effectively is a challenging subject. Entropy can effectively describe the complexity, non-linearity, and uncertainty of electroencephalogram (EEG) signals. As a relatively new research direction, the research of the FBN construction method based on EEG data of fatigue driving has broad prospects. Therefore, it is of great significance to study the entropy-based FBN construction. We focus on selecting appropriate entropy features to characterize EEG signals and construct an FBN. On the real data set of fatigue driving, FBN models based on different entropies are constructed to identify the state of fatigue driving. Through analyzing network measurement indicators, the experiment shows that the FBN model based on fuzzy entropy can achieve excellent classification recognition rate and good classification stability. In addition, when compared with the other model based on the same data set, our model could obtain a higher accuracy and more stable classification results even if the length of the intercepted EEG signal is different.
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Keywords:
functional brain network; fuzzy entropy; fatigue driving
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MDPI and ACS Style
Zhang, L.; Qiu, T.; Lin, Z.; Zou, S.; Bai, X. Construction and Application of Functional Brain Network Based on Entropy. Entropy 2020, 22, 1234. https://doi.org/10.3390/e22111234
AMA Style
Zhang L, Qiu T, Lin Z, Zou S, Bai X. Construction and Application of Functional Brain Network Based on Entropy. Entropy. 2020; 22(11):1234. https://doi.org/10.3390/e22111234
Chicago/Turabian StyleZhang, Lingyun, Taorong Qiu, Zhiqiang Lin, Shuli Zou, and Xiaoming Bai. 2020. "Construction and Application of Functional Brain Network Based on Entropy" Entropy 22, no. 11: 1234. https://doi.org/10.3390/e22111234
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