DocumentCode :
2504625
Title :
Wireless gyroscope suit for gait stability estimation
Author :
Gouwanda, Darwin ; Senanayake, Namal A.
Author_Institution :
Sunway Campus, Monash Univ., Bandar Sunway, Malaysia
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
7824
Lastpage :
7828
Abstract :
Gait stability is primary in assessing individuals with high risk of falling, particularly the elderly. Custom made self-adjustable wireless gyroscope suit is used as a sensing device to quantify gait stability. A nonlinear time series analysis i.e. maximum Lyapunov exponent (λ*) was employed to estimate the short term and long term stability and it is closely related to the ability of human neuro-muscular control system in maintaining gait stability. Experimental analysis and tests validated the efficacy of this novel approach. The results achieved are comparable with the findings of multiple kinematic and dynamic parameters derived from optical motion capture system and force platform which are widely used as gold standard.
Keywords :
Lyapunov methods; bio-optics; biocontrol; gait analysis; geriatrics; gyroscopes; medical signal processing; muscle; neurophysiology; time series; dynamic parameters; elderly; falling; force platform; gait stability estimation; human neuromuscular control system; kinematic parameters; maximum Lyapunov exponent; nonlinear time series analysis; optical motion capture system; self-adjustable wireless gyroscope suit; wireless gyroscope suit; Gyroscopes; Humans; Kinematics; Legged locomotion; Stability analysis; Wireless communication; Wireless sensor networks; Adult; Aged; Clothing; Gait; Humans; Wireless Technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6091928
Filename :
6091928
Link To Document :
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