Measuring Robustness of the Postural Control System to a Mild Impulsive Perturbation

We propose a new metric to assess robustness of the human postural control system to an impulsive perturbation (in this case, a mild backward impulse force at the pelvis). By applying concepts from robust control theory, we use the inverse of the maximum value of the system's sensitivity function (1/MaxSens) as a measure for robustness of the human postural control system, e.g., a highly sensitive system has low robustness to perturbation. The sensitivity function, which in this case is the frequency response function, is obtained directly using spectral analysis of experimental measurements, without need to develop a model of the postural control system. Common measures of robustness, gain and phase margins, however require a model to assess system robustness. To examine the efficacy of this approach, we tested thirty healthy subjects across three age groups: young (YA: 20-30 years), middle-aged (MA: 42-53 years), and older adults (OA: 71-79 years). The OA group was found to have reduced postural stability during quiet stance as detected by center of pressure measures of postural sway. The proposed robustness measure of 1/MaxSens was also found to be significantly smaller for OA than YA or MA ( p=0.001), implying reduced robustness among the older subjects in response to the perturbation. Gain and phase margins failed to detect any age-related differences. In summary, the proposed robustness characterization method is easy to implement, does not require a model for the postural control system, and was better able to detect differences in system robustness than model-based robustness metrics.

[1]  J. Nadal,et al.  Calculation of area of stabilometric signals using principal component analysis , 1996, Physiological measurement.

[2]  F. Horak,et al.  Central programming of postural movements: adaptation to altered support-surface configurations. , 1986, Journal of neurophysiology.

[3]  J. Lackner,et al.  Analysis of human postural responses to recoverable falls , 2003, Experimental Brain Research.

[4]  José Angelo Barela,et al.  Physical Activity and Postural Control in the Elderly: Coupling between Visual Information and Body Sway , 2004, Gerontology.

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

[6]  Pertti Era,et al.  Force Platform Measurements as Predictors of Falls among Older People – A Review , 2006, Gerontology.

[7]  Gene F. Franklin,et al.  Feedback Control of Dynamic Systems , 1986 .

[8]  Alex Simpkins,et al.  System Identification: Theory for the User, 2nd Edition (Ljung, L.; 1999) [On the Shelf] , 2012, IEEE Robotics & Automation Magazine.

[9]  R. Shiavi,et al.  Simultaneous measurement of body center of pressure and center of gravity during upright stance. Part II: Amplitude and frequency data , 1996 .

[10]  P. Morasso,et al.  Can muscle stiffness alone stabilize upright standing? , 1999, Journal of neurophysiology.

[11]  T. Sinkjaer,et al.  Functional postural responses after perturbations in multiple directions in a standing man: a principle of decoupled control. , 2001, Journal of biomechanics.

[12]  William S. Levine,et al.  The Control Handbook , 2010 .

[13]  Måns Magnusson,et al.  Identification of human postural dynamics , 1988 .

[14]  A. Ishida,et al.  Analysis of the posture control system under fixed and sway-referenced support conditions , 1997, IEEE Transactions on Biomedical Engineering.

[15]  Analysis of postural perturbation responses , 2001, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[16]  J. Stirling,et al.  Stability and the maintenance of balance following a perturbation from quiet stance. , 2004, Chaos.

[17]  J. Collins,et al.  Predicting the dynamic postural control response from quiet-stance behavior in elderly adults. , 2003, Journal of biomechanics.

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

[19]  Maury A Nussbaum,et al.  Postural strategy changes with fatigue of the lumbar extensor muscles. , 2006, Gait & posture.

[20]  J. Collins,et al.  Open-loop and closed-loop control of posture: A random-walk analysis of center-of-pressure trajectories , 2004, Experimental Brain Research.

[21]  P J Sparto,et al.  Effect of aging on human postural control during cognitive tasks. , 1997, Biomedical sciences instrumentation.

[22]  Milos R Popovic,et al.  Controlling balance during quiet standing: proportional and derivative controller generates preceding motor command to body sway position observed in experiments. , 2006, Gait & posture.

[23]  J. Bendat,et al.  Random Data: Analysis and Measurement Procedures , 1987 .

[24]  Motoki Kouzaki,et al.  Importance of body sway velocity information in controlling ankle extensor activities during quiet stance. , 2003, Journal of neurophysiology.

[25]  D. Winter,et al.  Balance recovery from medio-lateral perturbations of the upper body during standing , 1999 .

[26]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[27]  R. Peterka Sensorimotor integration in human postural control. , 2002, Journal of neurophysiology.

[28]  R. van Emmerik,et al.  Postural orientation: age-related changes in variability and time-to-boundary. , 2002, Human movement science.

[29]  J. J. Collins,et al.  Age-related changes in open-loop and closed-loop postural control mechanisms , 2004, Experimental Brain Research.

[30]  S. Wolf,et al.  Tai Chi and vestibular rehabilitation improve vestibulopathic gait via different neuromuscular mechanisms: Preliminary report , 2005, BMC neurology.

[31]  Ian Postlethwaite,et al.  Multivariable Feedback Control: Analysis and Design , 1996 .

[32]  Lee Nolan,et al.  Aging, muscle activity, and balance control: physiologic changes associated with balance impairment. , 2003, Gait & posture.

[33]  M. Woollacott,et al.  Visual, vestibular and somatosensory contributions to balance control in the older adult. , 1989, Journal of gerontology.

[34]  J. J. Collins,et al.  The effects of visual input on open-loop and closed-loop postural control mechanisms , 2004, Experimental Brain Research.