• DocumentCode
    663180
  • Title

    Center of pressure velocity autocorrelation as a new measure of postural control during quiet stance

  • Author

    Hernandez, Manuel E. ; Stevenson, Cory ; Snider, Joseph ; Poizner, Howard

  • Author_Institution
    Inst. for Neural Comput., Univ. of California San Diego, La Jolla, CA, USA
  • fYear
    2013
  • fDate
    6-8 Nov. 2013
  • Firstpage
    1270
  • Lastpage
    1273
  • Abstract
    Falls are a significant cause of mortality and serious injury in older adults and particularly in people with neurological disorders. The ability to maintain balance and postural control is commonly evaluated using center of pressure (COP) data collected with a force platform. Recent methods such as the Stabilogram Diffusion Analysis (SDA) have examined the stochastic characteristics of the COP but require numerous, long duration trials for reliable measures. To further our understanding of the underlying dynamical processes in postural control, we propose a new conceptual framework for studying human postural control using the COP velocity autocorrelation function (COP-VAF), and compare its results to SDA. Five healthy young participants were studied under quiet standing conditions with either eyes open or closed. COP trajectories were analyzed using both traditional posturographic measures, SDA, and the COP-VAF. It is shown that the COP-VAF leads to repeatable, physiologically meaningful measures that can distinguish postural control differences with and without vision in healthy individuals. More specifically, visual feedback was found to significantly decrease the peak COP velocity autocorrelation value and magnitude of the first minimum, while increasing the diffusion coefficient. This result is interpreted as an indication that visual input serves to rapidly eliminate any oscillatory motion in quiet stance and utilizes a smaller potential field to maintain balance. In contrast to SDA, COP-VAF measures provide a more concise and reliable measure of postural control (intraclass coefficient correlation (ICC) = 0.23-0.87 vs. 0.05-0.91 in COP-VAF vs. SDA measures, respectively). This work suggests that we can further extend our understanding of the underlying mechanisms behind postural control in quiet stance using the COP-VAF and may apply this analysis in quantifying future neurorehabilitative interventions aimed at improving balance.
  • Keywords
    biodiffusion; biomechanics; biomedical measurement; force sensors; geriatrics; injuries; mechanoception; medical disorders; neurophysiology; stochastic processes; COP trajectories; COP velocity autocorrelation function; COP-VAF; SDA; Stabilogram Diffusion Analysis; balance improvement; center of pressure data; center of pressure velocity autocorrelation; conceptual framework; diffusion coefficient; dynamical processes; fall; first minimum magnitude; force platform; human postural control; intraclass coefficient correlation; long duration trials; mortality; neurological disorders; neurorehabilitative interventions; older adult; oscillatory motion; peak COP velocity autocorrelation value; quiet stance; quiet standing conditions; reliable measures; serious injury; smaller potential field; stochastic characteristics; traditional posturographic measurement; visual feedback; visual input; Atmospheric measurements; Correlation; Force; Reliability; Time measurement; Velocity measurement; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1948-3546
  • Type

    conf

  • DOI
    10.1109/NER.2013.6696172
  • Filename
    6696172