DocumentCode :
1834518
Title :
Gait measurement and evaluation system for diagnosis of elderly people´s gait condition to prevent fall
Author :
Ito, Tomotaka ; Umise, Satoru ; Hoshi, Hiromu ; Suzuki, Mizue ; Tani, Shigeki
Author_Institution :
Dept. of Mech. Eng., Shizuoka Univ., Shizuoka, Japan
fYear :
2015
fDate :
7-11 July 2015
Firstpage :
687
Lastpage :
693
Abstract :
Recently, the population ratio of elderly people is increasing rapidly and so, to improve the QOL of elderly people is a today´s important social issue. Most urgent problem is how to prevent the gradual decrease of the walking ability and how to prevent `fall down´. In clinical gait analysis, a quantitative and effective evaluation of a human lower limb movement is very important in order to provide an appropriate exercise and rehabilitation program which matches the individual walking condition. Therefore, we have proposed a “Gait measurement and evaluation system” which can be applied for clinical gait analysis. In this paper, we conducted gait measurement and diagnosis experiments for elderly people who attended the preventive care class in aged welfare facilities in order to confirm the effectiveness of the proposed system and to investigate the factor of elderly people´s fall. In the experiments, we investigated the year-by-year improvement/deterioration of elderly people´s gait condition and also analyzed the striding movement over a virtual obstacle to reveal the differences of the individual walking performance. The experimental results illustrate the validity of the propose approach.
Keywords :
gait analysis; geriatrics; mechanoception; patient diagnosis; elderly people gait measurement; fall prevention; human lower limb movement evaluation; virtual obstacle; walking performance; Aging; Foot; Joints; Knee; Legged locomotion; Motion measurement; Senior citizens;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2015 IEEE International Conference on
Conference_Location :
Busan
Type :
conf
DOI :
10.1109/AIM.2015.7222617
Filename :
7222617
Link To Document :
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