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A Revised Hilbert-Huang Transformation to Track Non-Stationary Association of Electroencephalography Signals

文献类型：期刊论文

作者Shan, Xiaocai1; Huo, Shoudong1; Yang, Lichao4; Cao, Jun4; Zou, Jiaru1; Chen, Liangyu2; Sarrigiannis, Ptolemaios Georgios3; Zhao, Yifan4
刊名IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
出版日期2021
卷号29页码:841-851
ISSN号1534-4320
关键词Electroencephalography Time-frequency analysis Transforms Wavelet transforms Oscillators Signal resolution Physiology EEG transient connectivity cross-spectrum Hilbert Huang transform
DOI10.1109/TNSRE.2021.3076311
英文摘要The time-varying cross-spectrum method has been used to effectively study transient and dynamic brain functional connectivity between non-stationary electroencephalography (EEG) signals. Wavelet-based cross-spectrum is one of the most widely implemented methods, but it is limited by the spectral leakage caused by the finite length of the basic function that impacts the time and frequency resolutions. This paper proposes a new time-frequency brain functional connectivity analysis framework to track the non-stationary association of two EEG signals based on a Revised Hilbert-Huang Transform (RHHT). The framework can estimate the cross-spectrum of decomposed components of EEG, followed by a surrogate significance test. The results of two simulation examples demonstrate that, within a certain statistical confidence level, the proposed framework outperforms the wavelet-based method in terms of accuracy and time-frequency resolution. A case study on classifying epileptic patients and healthy controls using interictal seizure-free EEG data is also presented. The result suggests that the proposed method has the potential to better differentiate these two groups benefiting from the enhanced measure of dynamic time-frequency association.
WOS关键词EMPIRICAL MODE DECOMPOSITION ; EEG FUNCTIONAL CONNECTIVITY ; BRAIN CONNECTIVITY ; NEURAL SYNCHRONIZATION ; TIME-SERIES ; NETWORK
资助项目Liaoning Provincial Department of Education Research Funding Project[QN2019010] ; Liaoning Science and Technology Plan Project[20180550047] ; Shenyang Science and Technology Plan Project[18-013-0-58] ; Shengjing Hospital Project[MF45] ; National Natural Science Foundation of China[42042045] ; University of Chinese Academy of Sciences (UCAS)
WOS研究方向Engineering ; Rehabilitation
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000648152000001
资助机构Liaoning Provincial Department of Education Research Funding Project ; Liaoning Provincial Department of Education Research Funding Project ; Liaoning Provincial Department of Education Research Funding Project ; Liaoning Provincial Department of Education Research Funding Project ; Liaoning Science and Technology Plan Project ; Liaoning Science and Technology Plan Project ; Liaoning Science and Technology Plan Project ; Liaoning Science and Technology Plan Project ; Shenyang Science and Technology Plan Project ; Shenyang Science and Technology Plan Project ; Shenyang Science and Technology Plan Project ; Shenyang Science and Technology Plan Project ; Shengjing Hospital Project ; Shengjing Hospital Project ; Shengjing Hospital Project ; Shengjing Hospital Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; University of Chinese Academy of Sciences (UCAS) ; University of Chinese Academy of Sciences (UCAS) ; University of Chinese Academy of Sciences (UCAS) ; University of Chinese Academy of Sciences (UCAS) ; Liaoning Provincial Department of Education Research Funding Project ; Liaoning Provincial Department of Education Research Funding Project ; Liaoning Provincial Department of Education Research Funding Project ; Liaoning Provincial Department of Education Research Funding Project ; Liaoning Science and Technology Plan Project ; Liaoning Science and Technology Plan Project ; Liaoning Science and Technology Plan Project ; Liaoning Science and Technology Plan Project ; Shenyang Science and Technology Plan Project ; Shenyang Science and Technology Plan Project ; Shenyang Science and Technology Plan Project ; Shenyang Science and Technology Plan Project ; Shengjing Hospital Project ; Shengjing Hospital Project ; Shengjing Hospital Project ; Shengjing Hospital Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; University of Chinese Academy of Sciences (UCAS) ; University of Chinese Academy of Sciences (UCAS) ; University of Chinese Academy of Sciences (UCAS) ; University of Chinese Academy of Sciences (UCAS) ; Liaoning Provincial Department of Education Research Funding Project ; Liaoning Provincial Department of Education Research Funding Project ; Liaoning Provincial Department of Education Research Funding Project ; Liaoning Provincial Department of Education Research Funding Project ; Liaoning Science and Technology Plan Project ; Liaoning Science and Technology Plan Project ; Liaoning Science and Technology Plan Project ; Liaoning Science and Technology Plan Project ; Shenyang Science and Technology Plan Project ; Shenyang Science and Technology Plan Project ; Shenyang Science and Technology Plan Project ; Shenyang Science and Technology Plan Project ; Shengjing Hospital Project ; Shengjing Hospital Project ; Shengjing Hospital Project ; Shengjing Hospital Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; University of Chinese Academy of Sciences (UCAS) ; University of Chinese Academy of Sciences (UCAS) ; University of Chinese Academy of Sciences (UCAS) ; University of Chinese Academy of Sciences (UCAS) ; Liaoning Provincial Department of Education Research Funding Project ; Liaoning Provincial Department of Education Research Funding Project ; Liaoning Provincial Department of Education Research Funding Project ; Liaoning Provincial Department of Education Research Funding Project ; Liaoning Science and Technology Plan Project ; Liaoning Science and Technology Plan Project ; Liaoning Science and Technology Plan Project ; Liaoning Science and Technology Plan Project ; Shenyang Science and Technology Plan Project ; Shenyang Science and Technology Plan Project ; Shenyang Science and Technology Plan Project ; Shenyang Science and Technology Plan Project ; Shengjing Hospital Project ; Shengjing Hospital Project ; Shengjing Hospital Project ; Shengjing Hospital Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; University of Chinese Academy of Sciences (UCAS) ; University of Chinese Academy of Sciences (UCAS) ; University of Chinese Academy of Sciences (UCAS) ; University of Chinese Academy of Sciences (UCAS)
源URL[http://ir.iggcas.ac.cn/handle/132A11/101219]  
专题地质与地球物理研究所_中国科学院油气资源研究重点实验室
通讯作者Chen, Liangyu
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China
2.China Med Univ, Shengjing Hosp, Dept Neurosurg, Shenyang 110004, Peoples R China
3.Royal Devon & Exeter NHS Fdn Trust, Exeter EX2 5DW, Devon, England
4.Cranfield Univ, Sch Aerosp Transport & Mfg, Cranfield MK43 0AL, Beds, England
推荐引用方式
GB/T 7714		 Shan, Xiaocai,Huo, Shoudong,Yang, Lichao,et al. A Revised Hilbert-Huang Transformation to Track Non-Stationary Association of Electroencephalography Signals[J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,2021,29:841-851.
APA Shan, Xiaocai.,Huo, Shoudong.,Yang, Lichao.,Cao, Jun.,Zou, Jiaru.,...&Zhao, Yifan.(2021).A Revised Hilbert-Huang Transformation to Track Non-Stationary Association of Electroencephalography Signals.IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,29,841-851.
MLA Shan, Xiaocai,et al."A Revised Hilbert-Huang Transformation to Track Non-Stationary Association of Electroencephalography Signals".IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 29(2021):841-851.

入库方式： OAI收割

来源：地质与地球物理研究所

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