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Collaborative Sleep Electroencephalogram Data Analysis Based on Improved Empirical Mode Decomposition and Clustering Algorithm
Joint Authors
Zheng, Xiangwei
Shao, Xuexiao
Yin, Xiaochun
Li, Yalin
Yu, Xiaomei
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-13
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Sleep-related diseases seriously affect the life quality of patients.
Sleep stage classification (or sleep staging), which studies the human sleep process and classifies the sleep stages, is an important reference to the diagnosis and study of sleep disorders.
Many scholars have conducted a series of sleep staging studies, but the correlation between different sleep stages and the accuracy of classification still needs to be improved.
Therefore, this paper proposes an automatic sleep stage classification based on EEG.
By constructing an improved empirical mode decomposition and K-means experimental model, the concept of “frequency-domain correlation coefficient” is defined.
In the process of feature extraction, the feature vector with the best correlation in the time-frequency domain is selected.
Extraction and classification of EEG features are realized based on the K-means clustering algorithm.
Experimental results demonstrate that the classification accuracy is significantly improved, and our proposed algorithm has a positive impact on sleep staging compared with other algorithms.
American Psychological Association (APA)
Zheng, Xiangwei& Yin, Xiaochun& Shao, Xuexiao& Li, Yalin& Yu, Xiaomei. 2020. Collaborative Sleep Electroencephalogram Data Analysis Based on Improved Empirical Mode Decomposition and Clustering Algorithm. Complexity،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1139912
Modern Language Association (MLA)
Zheng, Xiangwei…[et al.]. Collaborative Sleep Electroencephalogram Data Analysis Based on Improved Empirical Mode Decomposition and Clustering Algorithm. Complexity No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1139912
American Medical Association (AMA)
Zheng, Xiangwei& Yin, Xiaochun& Shao, Xuexiao& Li, Yalin& Yu, Xiaomei. Collaborative Sleep Electroencephalogram Data Analysis Based on Improved Empirical Mode Decomposition and Clustering Algorithm. Complexity. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1139912
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139912