Literature DB >> 19345355

Evaluation of the threshold of stability for the human spine.

Martin L Tanaka1, Maury A Nussbaum, Shane D Ross.   

Abstract

The threshold of stability (ToS) is introduced as a new tool for evaluating spinal stability. Current methods have evaluated the magnitude of spinal kinematic variability, stability diffusion, or Lyapunov exponents. This present method differs by modifying task difficulty to obtain a critical value delineating regions of stability and instability. Conceptually, as task difficulty increases, kinematic variability of the system increases and the basin of stability decreases. When kinematic variability exceeds the basin of stability, stability cannot be maintained over time. This concept is first illustrated using a mathematical model, from which an effective potential function was calculated to show the relationships among kinematic variability, the basin of stability, and task difficulty. In addition, an experiment was performed to evaluate the sensitivity of the ToS to changes in postural control using visual feedback as a control variable. The ToS was found to be more sensitive than the Lyapunov exponent to removal of visual feedback, suggesting it may have use as a diagnostic indicator (e.g. for low back pain). Furthermore, this new method has an additional advantage in which minimal instrumentation is needed. Its simplicity, sensitivity, and low cost suggest that the ToS has potential as a diagnostic or prognostic tool in a clinical setting.

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Year:  2009        PMID: 19345355      PMCID: PMC2683902          DOI: 10.1016/j.jbiomech.2009.02.008

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  22 in total

1.  A methodological note on nonlinear time series analysis: is the open- and closed-loop model of Collins and De Luca (1993) a statistical artifact?

Authors:  Didier Delignières; Thibault Deschamps; Alexandre Legros; Nicolas Caillou
Journal:  J Mot Behav       Date:  2003-03       Impact factor: 1.328

2.  Clinical spinal instability and low back pain.

Authors:  Manohar M Panjabi
Journal:  J Electromyogr Kinesiol       Date:  2003-08       Impact factor: 2.368

3.  Trunk muscle recruitment patterns in patients with low back pain enhance the stability of the lumbar spine.

Authors:  Jaap H van Dieën; Jacek Cholewicki; Andrea Radebold
Journal:  Spine (Phila Pa 1976)       Date:  2003-04-15       Impact factor: 3.468

4.  Influence of fatigue in neuromuscular control of spinal stability.

Authors:  Kevin P Granata; Greg P Slota; Sara E Wilson
Journal:  Hum Factors       Date:  2004       Impact factor: 2.888

5.  Postural sway characteristics of the elderly under normal and altered visual and support surface conditions.

Authors:  N Teasdale; G E Stelmach; A Breunig
Journal:  J Gerontol       Date:  1991-11

6.  Postural control during quiet standing following cervical muscular fatigue: effects of changes in sensory inputs.

Authors:  Nicolas Vuillerme; Nicolas Pinsault; Jacques Vaillant
Journal:  Neurosci Lett       Date:  2005-01-06       Impact factor: 3.046

7.  Slower speeds in patients with diabetic neuropathy lead to improved local dynamic stability of continuous overground walking.

Authors:  J B Dingwell; J P Cusumano; D Sternad; P R Cavanagh
Journal:  J Biomech       Date:  2000-10       Impact factor: 2.712

8.  Falls in the elderly related to postural imbalance.

Authors:  P W Overstall; A N Exton-Smith; F J Imms; A L Johnson
Journal:  Br Med J       Date:  1977-01-29

9.  Predicting the dynamic postural control response from quiet-stance behavior in elderly adults.

Authors:  Elizabeth T Hsiao-Wecksler; Kunal Katdare; Jennifer Matson; Wen Liu; Lewis A Lipsitz; James J Collins
Journal:  J Biomech       Date:  2003-09       Impact factor: 2.712

10.  The relationship of postural sway in standing to the incidence of falls in geriatric subjects.

Authors:  G R Fernie; C I Gryfe; P J Holliday; A Llewellyn
Journal:  Age Ageing       Date:  1982-02       Impact factor: 10.668

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  6 in total

1.  Detecting dynamical boundaries from kinematic data in biomechanics.

Authors:  Shane D Ross; Martin L Tanaka; Carmine Senatore
Journal:  Chaos       Date:  2010-03       Impact factor: 3.642

2.  Quantifying trunk neuromuscular control using seated balancing and stability threshold.

Authors:  N Peter Reeves; Victor Giancarlo Sal Y Rosas Celi; Ahmed Ramadan; John M Popovich; Clark J Radcliffe; Jongeun Choi; Jacek Cholewicki
Journal:  J Biomech       Date:  2020-09-09       Impact factor: 2.712

3.  Comparing Postural Stability Entropy Analyses to Differentiate Fallers and Non-fallers.

Authors:  Peter C Fino; Ahmad R Mojdehi; Khaled Adjerid; Mohammad Habibi; Thurmon E Lockhart; Shane D Ross
Journal:  Ann Biomed Eng       Date:  2015-10-13       Impact factor: 3.934

4.  Reliability of assessing postural control during seated balancing using a physical human-robot interaction.

Authors:  Ahmed Ramadan; Jacek Cholewicki; Clark J Radcliffe; John M Popovich; N Peter Reeves; Jongeun Choi
Journal:  J Biomech       Date:  2017-10-07       Impact factor: 2.712

Review 5.  Movement variability near goal equivalent manifolds: fluctuations, control, and model-based analysis.

Authors:  Joseph P Cusumano; Jonathan B Dingwell
Journal:  Hum Mov Sci       Date:  2013-11-07       Impact factor: 2.161

6.  Mathematical modeling and simulation of seated stability.

Authors:  Martin L Tanaka; Shane D Ross; Maury A Nussbaum
Journal:  J Biomech       Date:  2009-12-16       Impact factor: 2.712

  6 in total

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