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Spectral analysis in walking balance by elderly subjects.

Spectral analysis in walking balance by elderly subjects. Research Abstract Details 

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  • Spectral analysis in walking balance by elderly subjects. Abstract Text:

    y tsuruokaY Tsuruoka,r shibasakiR Shibasaki,yuriko tsuruokaYuriko Tsuruoka,ryosuke shibasakiRyosuke Shibasaki,

    Elderly people lose their rhythm of walking balance, because their body alignment and standing balance become less stable through aging. The fluctuations of both hips movement while walking were measured using a portable measurement system with two accelerometers. Before they have had physical exercise and when walking without shoe insoles, the fluctuations of the hip movement, having back and knee pain, was not rhythmic, and also not proportional to 1/f (f=frequency) fluctuation, their walking was unstable. After physical exercise and walking with insoles, their walking became rhythmic and was approximately close to proportional to 1/f fluctuation, and their walking improved. This study provides useful information for the improvement of walking.

    Spectral analysis in walking balance by elderly subjects. Publishing Authors By Initials

    y tsuruokaY Tsuruoka,r shibasakiR Shibasaki,y tsuruokaY Tsuruoka,r shibasakiR Shibasaki,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

    MEDLINE DATE:

    Spectral analysis in walking balance by elderly subjects. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Conference proceedings : ... Annual International

    VOLUME: 1

    Page Numbers: 5420-3

    Journal Abbreviation:

    ISSN: 1557-170X

    DAY: 23

    MONTH: 10

    YEAR: 2006

    Spectral analysis in walking balance by elderly subjects. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 101243413

    Spectral analysis in walking balance by elderly subjects. Keywords Mesh Terms:

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    Grant and Affiliation Information for Spectral analysis in walking balance by elderly subjects.

    AFFILIATION: Dept. of Data Sci., Inst. of Stat. Math., Tokyo.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: Conf Proc IEEE Eng Med Biol So

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