File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: A multimodal investigation of in vivo muscle behavior: system design and data analysis

TitleA multimodal investigation of in vivo muscle behavior: system design and data analysis
Authors
KeywordsElectromyography
Mechanomyography
Medical instrument
Multimodal integration
Ultrasonography
Issue Date2014
PublisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000089
Citation
The 2014 IEEE International Symposium on Circuits and Systems (ISCAS), Melbourne, Australia, 1-5 June 2014. In IEEE International Symposium on Circuits and Systems Proceedings, 2014, p. 2053-2056 How to Cite?
AbstractThe study is aimed to investigate in vivo behaviors of the rectus femoris muscle during isometric contraction by integrating simultaneously recorded electromyography (EMG), mechanomyography (MMG), and ultrasonography (US). We developed an experimental platform for simultaneous acquisition of EMG, MMG, US, as well as the torque, during isometric muscle contraction. Features from multimodal signals and images were then automatically extracted and calibrated to present time-varying characteristics of muscle behaviors. We further applied local polynomial regression (LPR) to reveal nonlinear and transient relationships between multimodal muscle features and torque. The results suggested that the proposed multimodal signal acquisition and integration are capable of providing novel and complete information about in vivo muscle contraction. The proposed experimental platform is a potentially useful tool for muscle assessment in various clinical and practical applications. © IEEE
Persistent Identifierhttp://hdl.handle.net/10722/204086
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorChen, Xen_US
dc.contributor.authorZhong, Sen_US
dc.contributor.authorNiu, YYen_US
dc.contributor.authorChen, SPen_US
dc.contributor.authorWang, TFen_US
dc.contributor.authorChan, SCen_US
dc.contributor.authorZhang, Zen_US
dc.date.accessioned2014-09-19T20:04:46Z-
dc.date.available2014-09-19T20:04:46Z-
dc.date.issued2014en_US
dc.identifier.citationThe 2014 IEEE International Symposium on Circuits and Systems (ISCAS), Melbourne, Australia, 1-5 June 2014. In IEEE International Symposium on Circuits and Systems Proceedings, 2014, p. 2053-2056en_US
dc.identifier.isbn978-1-4799-3432-4-
dc.identifier.issn0271-4302-
dc.identifier.urihttp://hdl.handle.net/10722/204086-
dc.description.abstractThe study is aimed to investigate in vivo behaviors of the rectus femoris muscle during isometric contraction by integrating simultaneously recorded electromyography (EMG), mechanomyography (MMG), and ultrasonography (US). We developed an experimental platform for simultaneous acquisition of EMG, MMG, US, as well as the torque, during isometric muscle contraction. Features from multimodal signals and images were then automatically extracted and calibrated to present time-varying characteristics of muscle behaviors. We further applied local polynomial regression (LPR) to reveal nonlinear and transient relationships between multimodal muscle features and torque. The results suggested that the proposed multimodal signal acquisition and integration are capable of providing novel and complete information about in vivo muscle contraction. The proposed experimental platform is a potentially useful tool for muscle assessment in various clinical and practical applications. © IEEE-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000089en_US
dc.relation.ispartofIEEE International Symposium on Circuits and Systems Proceedingsen_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong Licenseen_US
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.en_US
dc.subjectElectromyography-
dc.subjectMechanomyography-
dc.subjectMedical instrument-
dc.subjectMultimodal integration-
dc.subjectUltrasonography-
dc.titleA multimodal investigation of in vivo muscle behavior: system design and data analysisen_US
dc.typeConference_Paperen_US
dc.identifier.emailChan, SC: ascchan@hku.hken_US
dc.identifier.emailZhang, Z: zhangzg@hku.hken_US
dc.identifier.authorityChan, SC=rp00094en_US
dc.identifier.authorityZhang, Z=rp01565en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ISCAS.2014.6865569en_US
dc.identifier.hkuros238874en_US
dc.identifier.spage2053en_US
dc.identifier.epage2056en_US
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 141006-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats