Document Detail


Frequency features of mechanomyographic signals of human soleus muscle during quiet standing.
MedLine Citation:
PMID:  18606185     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The purpose of the present study was to determine whether the frequency features of the MMG signals during quiet standing reflect body sway as well as recurring muscle activity. Twenty healthy men maintained quiet standing in a barefoot position with their eyes open or closed. During quiet standing, MMG detected using uniaxial piezoresistive accelerometer and surface electromyogram (EMG) signals were recorded from the soleus (SOL) muscle, and the center of mass (CoM) displacement (CoMdis) in the anteroposterior direction was measured by a high-resolution laser displacement sensor. In addition, CoMdis was time-differentiated to yield CoM velocity (CoMvel). Cross-spectral analysis revealed that significant coherency spectra from MMG to CoMdis and from MMG to rectified EMG of SOL were observed below 2 Hz and 8-12 Hz frequency band, respectively. Furthermore, we revealed that the trajectories of MMG and the calculated dMMG/dt were significantly correlated to CoMdis and CoMvel, respectively. These results suggest that kinematic and physiological parameters of postural control during quiet standing can be quantified by frequency features of the MMG.
Authors:
Motoki Kouzaki; Tetsuo Fukunaga
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-06-20
Journal Detail:
Title:  Journal of neuroscience methods     Volume:  173     ISSN:  0165-0270     ISO Abbreviation:  J. Neurosci. Methods     Publication Date:  2008 Aug 
Date Detail:
Created Date:  2008-08-04     Completed Date:  2008-10-24     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  7905558     Medline TA:  J Neurosci Methods     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  241-8     Citation Subset:  IM    
Affiliation:
Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Meguro, Tokyo, Japan. m.kouzaki@kt8.ecs.kyoto-u.ac.jp
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MeSH Terms
Descriptor/Qualifier:
Acceleration
Adult
Ankle Joint / physiology
Biological Clocks / physiology
Biomechanics / instrumentation,  methods
Electrodes / standards,  trends
Electromyography / methods
Electronics, Medical / instrumentation,  methods
Humans
Leg / anatomy & histology,  physiology
Male
Mechanoreceptors / physiology
Muscle Contraction / physiology*
Muscle, Skeletal / physiology*
Postural Balance / physiology*
Signal Processing, Computer-Assisted / instrumentation
Transducers / standards,  trends

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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