Document Detail


Comparison of power spectrum characteristics of body sway during a static upright standing posture in healthy elderly people and young adults.
MedLine Citation:
PMID:  16826669     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This study was designed to compare peak frequency, mean power frequency, and power spectrum of each frequency band of body-sway time series and velocity time series power spectra between 30 healthy elderly people and 30 young adults and to clarify their frequency characteristics. Peak frequency and mean power frequency differed between groups, being higher for elderly persons, and the difference was marked in the front-back direction. When comparing power spectra of three domains (A: 0.02-0.2 Hz, B: 0.2-2.0 Hz, and C: 2.0-10.0 Hz) of an international standard, a significant age-group difference was found only in the front-back direction. Young adults were higher in the low frequency band (A domain) in sway time series, and the elderly group was higher in the high frequency band (C domain) in body-sway velocity time series. However, almost all power spectra of both groups appeared in the low frequency band. The present results suggested frequency characteristics of healthy people occur in the low frequency band, but the elderly group compared with the young adults had more characteristics in the high frequency band. Their frequency characteristics cannot be properly evaluated by the international standard established to screen disorders. It may be necessary for healthy people to have new evaluation frequency sections when considering power spectrum characteristics of sway time series and sway-velocity time series.
Authors:
Shinichi Demura; Tamotsu Kitabayashi
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Perceptual and motor skills     Volume:  102     ISSN:  0031-5125     ISO Abbreviation:  Percept Mot Skills     Publication Date:  2006 Apr 
Date Detail:
Created Date:  2006-07-07     Completed Date:  2006-11-09     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  0401131     Medline TA:  Percept Mot Skills     Country:  United States    
Other Details:
Languages:  eng     Pagination:  467-76     Citation Subset:  IM    
Affiliation:
Graduate School of Natural Science and Technology, Kanazawa University, Ishikawa. demuken@ed.kanazawa-u.ac.jp
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MeSH Terms
Descriptor/Qualifier:
Aged
Aged, 80 and over
Aging / physiology*
Electrodiagnosis
Female
Fourier Analysis
Humans
Male
Middle Aged
Postural Balance / physiology*
Reference Values
Signal Processing, Computer-Assisted
Weight-Bearing / physiology*

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


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