Document Detail


Analysis of acceleration signals using wavelet transform.
MedLine Citation:
PMID:  10892260     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In this study, we attempted to discriminate the acceleration signal for horizontal level and stairway walking using wavelet-based fractal analysis method. The acceleration signal was measured close to the center of gravity of the body, while the subjects walked continuously in the corridor and up and down the stairs. We used the wavelet-based fractal analysis method to discriminate walking pattern. The parameter H which is related directly to the fractal dimension was estimated by the wavelet coefficient and was changed into low value during walking upstairs. By manually setting the threshold level for individual, it was possible to discriminate walking upstairs from the other walking type. However, the common feature among subjects was not shown between level walking and walking downstairs.
Authors:
M Sekine; T Tamura; M Akay; T Togawa; Y Fukui
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Methods of information in medicine     Volume:  39     ISSN:  0026-1270     ISO Abbreviation:  Methods Inf Med     Publication Date:  2000 Jun 
Date Detail:
Created Date:  2000-08-29     Completed Date:  2000-08-29     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0210453     Medline TA:  Methods Inf Med     Country:  GERMANY    
Other Details:
Languages:  eng     Pagination:  183-5     Citation Subset:  IM; S    
Affiliation:
Graduate School of Science and Engineering, Tokyo Denki University, Saitama, Japan. sekine@inst.i-mde.tmd.ac.jp
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MeSH Terms
Descriptor/Qualifier:
Acceleration*
Adult
Fourier Analysis
Fractals
Gait / physiology*
Humans
Lumbosacral Region
Monitoring, Physiologic / instrumentation*
Reference Values
Signal Processing, Computer-Assisted / instrumentation*

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


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