Biomechanical scale for dynamic human body posture analysis

Dynamic monitoring of patient body weight distribution in biomechanics laboratory can provide useful information for research and diagnosis purposes. The examinee can be subjected to different conditions, either standing still or doing a set of predefined exercises. Human locomotor system maintains the body balance in a complex manner, thus resulting in very small weight distribution perturbations which can provide a better insight in the patient state and serve as an excellent practical diagnostic tool. This paper describes an implementation of biomechanical scale designed to enable a high resolution dynamic body weight distribution measurement, along with monitoring of the angle and the distance between feet in the real-time.

[1]  A. Wing,et al.  Standing stability in the frontal plane determined by lateral forces applied to the hip . , 1995 .

[2]  W Freedman,et al.  Nonstationary properties of postural sway. , 1993, Journal of biomechanics.

[3]  U S Nayak,et al.  Comparison of the Wright ataxiameter and the Kistler force platform in the measurement of sway. , 1987, Journal of biomedical engineering.

[4]  James M. Keller,et al.  Body sway measurement for fall risk assessment using inexpensive webcams , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[5]  T.E. Prieto,et al.  Measures of postural steadiness: differences between healthy young and elderly adults , 1996, IEEE Transactions on Biomedical Engineering.

[6]  F. Horak,et al.  Postural feedback responses scale with biomechanical constraints in human standing , 2004, Experimental Brain Research.

[7]  Mihailo Lazarevi Mechanics of Human Locomotor System , 2006 .

[8]  B. Maki,et al.  Aging and Postural Control , 1990, Journal of the American Geriatrics Society.

[9]  Jacques Duchêne,et al.  Fractal time series analysis of postural stability in elderly and control subjects , 2007, Journal of NeuroEngineering and Rehabilitation.

[10]  S. Lord,et al.  Postural stability and associated physiological factors in a population of aged persons. , 1991, Journal of gerontology.

[11]  David J. Hewson,et al.  Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis , 2008, EURASIP J. Adv. Signal Process..