Literature DB >> 18829852

The dynamics of postural sway cannot be captured using a one-segment inverted pendulum model: a PCA on segment rotations during unperturbed stance.

Ilona J Pinter1, Roos van Swigchem, A J Knoek van Soest, Leonard A Rozendaal.   

Abstract

Research on unperturbed stance is largely based on a one-segment inverted pendulum model. Recently, an increasing number of studies report a contribution of other major joints to postural control. Therefore this study evaluates whether the conclusions originating from the research based on a one-segment model adequately capture postural sway during unperturbed stance. High-pass filtered kinematic data (cutoff frequency 1/30 Hz) obtained over 3 min of unperturbed stance were analyzed in different ways. Variance of joint angles was analyzed. Principal-component analysis (PCA) was performed on the variance of lower leg, upper leg, and head-arms-trunk (HAT) angles, as well as on lower leg and COM angle (the orientation of the line from ankle joint to center of mass). It was found that the variance in knee and hip joint angles did not differ from the variance found in the ankle angle. The first PCA component indicated that, generally, the upper leg and HAT segments move in the same direction as the lower leg with a somewhat larger amplitude. The first PCA component relating ankle angle variance and COM angle variance indicated that the ankle joint angle displacement gives a good estimate of the COM angle displacement. The second PCA component on the segment angles partly explains the apparent discrepancy between these findings because this component points to a countermovement of the HAT relative to the ankle joint angle. It is concluded that postural control during unperturbed stance should be analyzed in terms of a multiple inverted pendulum model.

Mesh:

Year:  2008        PMID: 18829852     DOI: 10.1152/jn.01312.2007

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  27 in total

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Authors:  Morgan L Waddell; Eric L Amazeen
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2.  Local and global effects of neck muscle vibration during stabilization of upright standing.

Authors:  Julius Verrel; Rémy Cuisinier; Ulman Lindenberger; Nicolas Vuillerme
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3.  Postural coordination patterns as a function of rhythmical dynamics of the surface of support.

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Journal:  Exp Brain Res       Date:  2013-02-08       Impact factor: 1.972

4.  Center of mass control and multi-segment coordination in children during quiet stance.

Authors:  Jianhua Wu; Sandra McKay; Rosa Angulo-Barroso
Journal:  Exp Brain Res       Date:  2009-05-30       Impact factor: 1.972

5.  Identification of the contribution of the ankle and hip joints to multi-segmental balance control.

Authors:  Tjitske Anke Boonstra; Alfred C Schouten; Herman van der Kooij
Journal:  J Neuroeng Rehabil       Date:  2013-02-22       Impact factor: 4.262

6.  Models of Postural Control: Shared Variance in Joint and COM Motions.

Authors:  Melissa C Kilby; Peter C M Molenaar; Karl M Newell
Journal:  PLoS One       Date:  2015-05-14       Impact factor: 3.240

7.  Quasi-real time estimation of angular kinematics using single-axis accelerometers.

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Journal:  Sensors (Basel)       Date:  2013-01-15       Impact factor: 3.576

8.  Persistence of motor-equivalent postural fluctuations during bipedal quiet standing.

Authors:  Julius Verrel; Didier Pradon; Nicolas Vuillerme
Journal:  PLoS One       Date:  2012-10-26       Impact factor: 3.240

9.  Difference in Postural Control during Quiet Standing between Young Children and Adults: Assessment with Center of Mass Acceleration.

Authors:  Naoko Oba; Shun Sasagawa; Akio Yamamoto; Kimitaka Nakazawa
Journal:  PLoS One       Date:  2015-10-08       Impact factor: 3.240

10.  The degrees of freedom problem in human standing posture: collective and component dynamics.

Authors:  Zheng Wang; Ji Hyun Ko; John H Challis; Karl M Newell
Journal:  PLoS One       Date:  2014-01-10       Impact factor: 3.240

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