title: Automated discrimination method for measuring the thickness of muscular and subcutaneous fat layers based on tissue elasticity.
abstract: The balance between human body composition, e.g. bones, muscles, and fat, is a major and basic indicator of personal health. This paper proposes a new discrimination method for measuring the thickness of subcutaneous fat and muscular layers based on tissue elasticity. The validity of the proposed method was evaluated in twenty-one subjects (twelve women, ten men; aged 20-70 yr) at three anatomical sites. Experimental results show that the proposed method can achieve considerably high discrimination performance.
authors: Graduate School of Science and Engineering, Saga University, 1 Honjo-machi, Saga, Saga, 840-8502, Japan.
authors: Masahiro
authors: M
authors: Inoue
authors: Osamu
authors: O
authors: Fukuda
authors: Masayoshi
authors: M
authors: Tsubai
authors: Satoshi
authors: S
authors: Muraki
authors: Hiroshi
authors: H
authors: Okumura
authors: Kohei
authors: K
authors: Arai
mesh_terms: D000328:Adult; D000368:Aged; D001331:Automation / Q000379:methods*; D004548:Elasticity / Q000502:physiology*; D054459:Elasticity Imaging Techniques / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009132:Muscles / Q000502:physiology*; D050151:Subcutaneous Fat / Q000502:physiology*; D055815:Young Adult