Abstract
The aim of this study was to develop a method to detecting the critical point interval (CPI) when sensory feedback is used as part of a closed-loop postural control strategy. Postural balance was evaluated using centre of pressure (COP) displacements from a force plate for 17 control and 10 elderly subjects under eyes open, eyes closed, and vibration conditions. A modified local-maximum-modulus wavelet transform analysis using the power spectrum of COP signals was used to calculate CPI. Lower CPI values indicate increased closed-loop postural control with a quicker response to sensory input. Such a strategy requires greater energy expenditure due to the repeated muscular interventions to remain stable. The CPI for elderly occurred significantly quicker than for controls, indicating tighter control of posture. Similar results were observed for eyes closed and vibration conditions. The CPI parameter can be used to detect differences in postural control due to ageing.
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References
Rubenstein, L.Z., Josephson, K.R.: The epidemiology of falls and syncope. Clin. Geriatr. Med. 18, 141–158 (2002)
Roll, J.P., Vedel, J.P.: Kinaesthetic role of muscle afferents in man, studied by tendon vibration and microneurography. Exp. Brain Res. 47, 177–190 (1982)
Collins, J.J., De Luca, C.J.: Random walking during quiet standing. Physical Review Letters 73, 764–767 (1994)
Mallat, S., Hwang, W.L.: Singularity detection and processing with wavelets. IEEE Transactions on Information Theory 38, 617–643 (1992)
Muzzy, J., Barcy, E., Areno, A.: Wavelets and multifractals for singular signal: application to turbulence data. Physical Review Letters 67, 3515–3519 (1991)
Ferdjallah, M., Harris, G.F., Wertsch, J.J.: Instantaneous postural stability characterization using time-frequency analysis. Gait & Posture 10, 129–134 (1999)
Schmuckler, M.: Children’s postural sway in response to low- and high-frequency visual information for oscillation. Jouranl of Experimental Psychology: Human Perception and Performance 23, 528–545 (1997)
Loughlin, P.J., Redfern, M.S., Furman, J.M.: Time-varying characteristics of visually induced postural sway. IEEE Trans. Rehabil. Eng. 4, 416–424 (1996)
Thurner, S., Mittermaier, C., Hanel, R., Ehrenberger, K.: Scaling-violation phenomena and fractality in the human posture control systems. Physical Review E 62, 4018 (2000)
Amoud, H., Abadi, M., Hewson, D.J., Michel, V., Doussot, M., Duchêne, J.: Fractal time series analysis of postural stability in elderly and control subjects. Journal of NeuroEngineering and Rehabilitation 4, 12 (2007)
Norris, J.A., Marsh, A.P., Smith, I.J., Kohut, R.I., Miller, M.E.: Ability of static and statistical mechanics posturographic measures to distinguish between age and fall risk. J. Biomech. 38, 1263–1272 (2005)
Amoud, H., Snoussi, H., Hewson, D.J., Doussot, M., Duchêne, J.: Intrinsic mode entropy for nonlinear discriminant analysis. IEEE Signal Processing Letters 14, 297–300 (2007)
Challis, J.H.: Aging, regularity and variability in maximum isometric moments. Journal of Biomechanics 39, 1543–1546 (2006)
Goldberger, A.L., Amaral, L.A., Hausdorff, J.M., Ivanov, P., Peng, C.K., Stanley, H.E.: Fractal dynamics in physiology: alterations with disease and aging. Proceedings of the National Academy of Sciences of the United States of America 99(suppl. 1), 2466–2472 (2002)
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Singh, N.K., Snoussi, H., Hewson, D., Duchêne, J. (2010). Wavelet Transform Analysis of the Power Spectrum of Centre of Pressure Signals to Detect the Critical Point Interval of Postural Control. In: Fred, A., Filipe, J., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2009. Communications in Computer and Information Science, vol 52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11721-3_18
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DOI: https://doi.org/10.1007/978-3-642-11721-3_18
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