Journal of the Society of Biomechanisms
Print ISSN : 0285-0885
Volume 43, Issue 4
Displaying 1-9 of 9 articles from this issue
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  • Susumu KIMIZUKA, Yutaro HIYOSHI, Hesong YE, Youhei TANAKA, Shunta TOGO ...
    2019 Volume 43 Issue 4 Pages 248-255
    Published: 2019
    Released on J-STAGE: November 01, 2019
    JOURNAL FREE ACCESS
    To realize an electric shoulder prosthesis arm system that can be used without long-term training, we developed an intuitive shoulder disarticulation prosthesis system. The developed system consisted of four degrees of freedom joints and control system adapting a user through machine learning technique and surface myoelectric potential of the trunk. We measured the surface myoelectric potential of the trunk of healthy subjects at multiple points and analyzed by using a principal component analysis to identify the proper myoelectric potential measurement part of the trunk. As a result, it was revealed that the proper EMG measurement site of the trunk is distributed in the chest and back. In addition, as a result of the experiment of verifying the grasping / moving motion of the object by the shoulder artificial arm using the surface myoelectric potential of the chest and the back for controlling the motion of the arm, all the subjects successfully grasped and moved the object within a certain period of time.
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  • Hidetoshi NAKAO, Masakazu IMAOKA, Kenji OKA, Mitsumasa HIDA, Takeshi M ...
    2019 Volume 43 Issue 4 Pages 256-262
    Published: 2019
    Released on J-STAGE: November 01, 2019
    JOURNAL FREE ACCESS
    In this study, we examined whether differences in feet alignment doe to dorsal arch height and arch height ratio(AHR)are related to characteristics, and anamnesis of foot, and sports career. This survey recruited 689 community-dwelling participants (370 males, 319 females) aged 18 years and older in Japan. Measurements of the questionnaires, foot length, and dorsal arch height were used in our methodology. The questionnaire examined anamnesis and foot pain, and an individual’s sports career. We measured and analyzed the AHR. Subjects were classified by DAH and AHR values, for high (H group), low (L group), or standard (S group), respectively. The associations between the three groups were analyzed using a one-way ANOVA and multiple comparisons. Furthermore, we correlated the variables that caused significant differences with DAH and AHR. The χ2 test analyzed the binary questionnaire results. The significance level was set at 5%. Consequently. Age, Weight and BMI were highest in the H group and a significant difference was observed with the L group. We observed that the average weight and BMI for the H group was higher than for the L group. It was suggested that the increase in age and BMI affected the H group.
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