Inter-trial analysis of post-movement beta activities in EEG signals using multivariate empirical mode decomposition

NCUIR > college of Health Sciences and Technology > Department of Biomedical Sciences and Engineering > journal & Dissertation > Item 987654321/102784

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/102784

Title:	Inter-trial analysis of post-movement beta activities in EEG signals using multivariate empirical mode decomposition
Authors:	羅孟宗;Chang, Hsiang-Chih;Lee, Po-Lei;Lo, Men-Tzung;Wu, Yu-Te;Wang, Kuo-Wei;Lan, Gong-Yau
Contributors:	生醫理工學院生醫科學與工程學系
Keywords:	Adult;Algorithms;Amplitude modulation;Beta Rhythm - physiology;Biomarkers;Channels;Decomposition;Electroencephalograph (EEG);Electroencephalography;Electroencephalography - methods;Electroencephalography Phase Synchronization;Empirical analysis;Empirical mode decomposition;event-related synchronization (ERS);Extraction;Feature extraction;Female;Fingers - innervation;Fingers - physiology;Frequency bands;Hospitals;Humans;Male;Models, Statistical;Movement - physiology;Multichannel;Multivariate Analysis;multivariate empirical mode decomposition (MEMD);Reproducibility of Results;Spectral analysis;Studies;Synchronism;Task analysis;Young Adult
Date:	2013-07-26
Issue Date:	2026-04-23 11:16:33 (UTC+8)
Publisher:	Institute of Electrical and Electronics Engineers Inc.;United States: IEEE
Abstract:	摘要： Event-related desynchronization/synchronization (ERD/ERS) is a technique to quantify subject's nonphase-locked neural activities underlying specific frequency bands, reactive to external/internal stimulus. However, conventional ERD/ERS studies usually utilize fixed frequency band determined from one or few channels to filter whole-head EEG/MEG data, which may inevitably include task-unrelated signals and result in underestimation of reactive oscillatory activities in multichannel studies. In this study, we adopted multivariate empirical mode decomposition (MEMD) to extract beta-related oscillatory activities in performing self-paced right and left index-finger lifting tasks. The MEMD extracts common modes from all channels in same-index intrinsic mode functions (IMFs) which allows the temporal-frequency features among different channels can be compared in each subband. The beta-band oscillatory activities were further bandpass filtered within trial-specific beta bands determined from sensorimotor-related channels (C3 and C4), and then rectified using amplitude modulation method to detect trial-by-trial beta rebound (BR) values in ERS time courses. The validity of the MEMD approach in BR values extraction has been demonstrated in multichannel EEG study which showed larger BR values than conventional ERS technique. The MEMD-based method enables the trial-by-trial extraction of sensorimotor oscillatory activities which might allow the exploration of subtle brain dynamics in future studies. 其他題名： TNSRE 其他題名： IEEE Trans Neural Syst Rehabil Eng 出版者： United States: IEEE 出版日期： 2013-07-01 出處： IEEE transactions on neural systems and rehabilitation engineering, 2013-07, Vol.21 (4), p.607-615 資源來源： IEEE Electronic Library (IEL) 版權： Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jul 2013 識別號： ISSN: 1534-4320 識別號： ISSN: 1558-0210 識別號： EISSN: 1558-0210 識別號： DOI: 10.1109/TNSRE.2013.2258940 識別號： PMID: 23661320 識別號： CODEN: ITNSB3
Appears in Collections:	[Department of Biomedical Sciences and Engineering ] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	21	View/Open

社群 sharing

Loading...