File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Corticomuscular coherence analysis on the static and dynamic tasks of hand movement

TitleCorticomuscular coherence analysis on the static and dynamic tasks of hand movement
Authors
Issue Date2014
PublisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001228
Citation
The 19th International Conference on Digital Signal Processing (DSP), Hong Kong, China, 20-23 August 2014. In Proceedings of the International Conference on Digital Signal Processing, 2014, p. 715-718 How to Cite?
AbstractThe synchronization between cortical motor and muscular activity can be revealed by corticomuscular coherence (CMC). This paper designed two neuromuscular activity paradigms of hand movement, i.e. static gripping task and dynamic finger moving task. The electroencephalography (EEG) from C3 and C4 channels and the surface electromyography (sEMG) from the flexor digitorum superficialis were collected simultaneously from 4 male and 4 female right-handed healthy young subjects. For the static griping task, CMCs during low-level forces under 4%, 8%, and 16% MVC (Maximal Voluntary Contraction) were investigated by using magnitude squared coherence calculated from EEGs and sEMGs. For the dynamic finger moving task, the time-frequency domain analysis was used to process dynamic data of temporary action in a period of 2 seconds and get the latency of the maximum CMC. The results of this study indicated that the force increasing within the low-level range in static task is associated with the enhanced CMC. The maximum amplitude of CMC occurred about 0.3–0.5s after the onset of hand movement. Subjects showed significant CMC performance both in static and dynamic task of hand movement.
Persistent Identifierhttp://hdl.handle.net/10722/204088

 

DC FieldValueLanguage
dc.contributor.authorFu, ASen_US
dc.contributor.authorXu, Ren_US
dc.contributor.authorHe, Fen_US
dc.contributor.authorQi, HZen_US
dc.contributor.authorZhang, LXen_US
dc.contributor.authorMing, Den_US
dc.contributor.authorBai, Yen_US
dc.contributor.authorZhang, Zen_US
dc.date.accessioned2014-09-19T20:05:05Z-
dc.date.available2014-09-19T20:05:05Z-
dc.date.issued2014en_US
dc.identifier.citationThe 19th International Conference on Digital Signal Processing (DSP), Hong Kong, China, 20-23 August 2014. In Proceedings of the International Conference on Digital Signal Processing, 2014, p. 715-718en_US
dc.identifier.urihttp://hdl.handle.net/10722/204088-
dc.description.abstractThe synchronization between cortical motor and muscular activity can be revealed by corticomuscular coherence (CMC). This paper designed two neuromuscular activity paradigms of hand movement, i.e. static gripping task and dynamic finger moving task. The electroencephalography (EEG) from C3 and C4 channels and the surface electromyography (sEMG) from the flexor digitorum superficialis were collected simultaneously from 4 male and 4 female right-handed healthy young subjects. For the static griping task, CMCs during low-level forces under 4%, 8%, and 16% MVC (Maximal Voluntary Contraction) were investigated by using magnitude squared coherence calculated from EEGs and sEMGs. For the dynamic finger moving task, the time-frequency domain analysis was used to process dynamic data of temporary action in a period of 2 seconds and get the latency of the maximum CMC. The results of this study indicated that the force increasing within the low-level range in static task is associated with the enhanced CMC. The maximum amplitude of CMC occurred about 0.3–0.5s after the onset of hand movement. Subjects showed significant CMC performance both in static and dynamic task of hand movement.-
dc.languageengen_US
dc.publisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001228-
dc.relation.ispartofProceedings of the International Conference on Digital Signal Processingen_US
dc.rightsProceedings of the International Conference on Digital Signal Processing. Copyright © I E E E.-
dc.rights©2014 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleCorticomuscular coherence analysis on the static and dynamic tasks of hand movementen_US
dc.typeConference_Paperen_US
dc.identifier.emailBai, Y: tsdwx56@hku.hken_US
dc.identifier.emailZhang, Z: zgzhang@eee.hku.hken_US
dc.identifier.authorityZhang, Z=rp01565en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICDSP.2014.6900757-
dc.identifier.hkuros238876en_US
dc.identifier.spage715-
dc.identifier.epage718-
dc.publisher.placeUnited State-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats