• DocumentCode
    139379
  • Title

    Assessment of walking speed by a goniometer-based method

  • Author

    Maranesi, E. ; Barone, V. ; Fioretti, S.

  • Author_Institution
    Dept. of Inf. Eng., Univ. Politec. delle Marche, Ancona, Italy
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    1202
  • Lastpage
    1205
  • Abstract
    A quantitative gait analysis is essential to evaluate the kinematic, kinetic and electromyographic gait patterns. These patterns are strongly related to the individual spatio-temporal parameters that characterize each subject. In particular, gait speed is one of the most important spatio-temporal gait parameters: it influences kinematic, kinetic parameters, and muscle activity too. The aim of the present study is to propose a new method to assess stride speed using only 1-degree-of-freedom electrogoniometers positioned on hip and knee joints. The model validation is performed comparing the model results with those automatically obtained from another gait analysis system: GAITRite. The results underline the model reliability. These results show that essential spatio-temporal gait parameters, and in particular the speed of each stride, can be determined during normal walking using only two 1-dof electrogoniometers. The method is easy-to-use and does not interfere with regular walking patterns.
  • Keywords
    biomedical measurement; electromyography; gait analysis; goniometers; kinematics; 1-degree-of-freedom electrogoniometers; GAITRite; electromyographic gait patterns; gait analysis system; goniometer-based method; kinematic gait patterns; kinetic gait patterns; quantitative gait analysis; spatio-temporal gait parameters; stride speed; walking speed assessment; Hip; Joints; Kinematics; Kinetic theory; Knee; Legged locomotion; Optimized production technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6943812
  • Filename
    6943812