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
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;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
DOI :
10.1109/EMBC.2014.6943812