Document Detail


Classification of acceleration waveforms during walking by wavelet transform.
MedLine Citation:
PMID:  9470398     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In this study we have attempted to classify the acceleration signal, while walking both at horizontal level, and upstairs and downstairs, using wavelet analysis. The acceleration signal close to the body's center of gravity was measured while the subjects walked in a corridor and up and down a stairway. The data for four steps were analyzed and the Daubecies 3 wavelet transform was applied to the sequential data. The variables to be discriminated were the waveforms related to levels -4 and -5. The sum of the square values at each step was compared at levels -4 and -5. Downstairs walking could be discriminated from other types of walking, showing the largest value for level -5. Walking at horizontal level was compared with upstairs walking for level -4. It was possible to discriminate the continuous dynamic responses to walking by the wavelet transform.
Authors:
T Tamura; M Sekine; M Ogawa; T Togawa; Y Fukui
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Methods of information in medicine     Volume:  36     ISSN:  0026-1270     ISO Abbreviation:  Methods Inf Med     Publication Date:  1997 Dec 
Date Detail:
Created Date:  1998-03-17     Completed Date:  1998-03-17     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0210453     Medline TA:  Methods Inf Med     Country:  GERMANY    
Other Details:
Languages:  eng     Pagination:  356-9     Citation Subset:  IM    
Affiliation:
Institute for Medical and Dental Engineering, Tokyo Medical and Dental University, Japan. tamura@inst.i-mde.tmd.ac.jp
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MeSH Terms
Descriptor/Qualifier:
Acceleration*
Adult
Humans
Male
Monitoring, Ambulatory / instrumentation
Signal Processing, Computer-Assisted*
Walking*

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


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