Pendulum model to calculate virtual time to contact in the assessment of balance disorders

2011 ◽  
Vol 33 ◽  
pp. S56-S57
Author(s):  
D. Cattaneo ◽  
J. Jonsdottir ◽  
A. Crippa ◽  
A. Montesano ◽  
M. Bove
2011 ◽  
Vol 34 (6) ◽  
pp. 470-477 ◽  
Author(s):  
Davide Cattaneo ◽  
Maurizio Ferrarin ◽  
Johanna Jonsdottir ◽  
Angelo Montesano ◽  
Marco Bove

2019 ◽  
Vol 238 (1) ◽  
pp. 93-99 ◽  
Author(s):  
Tyler T. Whittier ◽  
Sutton B. Richmond ◽  
Andrew S. Monaghan ◽  
Brett W. Fling

2019 ◽  
Vol 35 (1) ◽  
pp. 61-67
Author(s):  
Katherine L. Hsieh ◽  
Yaejin Moon ◽  
Vignesh Ramkrishnan ◽  
Rama Ratnam ◽  
Jacob J. Sosnoff

2008 ◽  
Vol 119 (2) ◽  
pp. 281-289 ◽  
Author(s):  
Semyon Slobounov ◽  
Cheng Cao ◽  
Wayne Sebastianelli ◽  
Elena Slobounov ◽  
Karl Newell

2006 ◽  
Vol 177 (4) ◽  
pp. 471-482 ◽  
Author(s):  
Pamela S. Haibach ◽  
Semyon M. Slobounov ◽  
Elena S. Slobounova ◽  
Karl M. Newell

Motor Control ◽  
2021 ◽  
pp. 1-13
Author(s):  
Chia-Cheng Lin ◽  
Sunghan Kim ◽  
Paul DeVita ◽  
Matt Becker ◽  
Stacey Meardon

This study aimed to examine the feasibility of using time-to-contact measures during the perturbation protocol in people with diabetes mellitus. Three-dimension motion capture and force data were collected during 0.5-s perturbations in four directions (forward, backward, right, and left) and at two accelerations (20 and 40 cm/s2) to compute the time-to-contact. Time-to-contact analysis was divided into three phases: perturbation, initial recovery, and final recovery. The statistical analysis showed the main effects of Direction and Phase (p < .01) as well as a Direction by Phase interaction (p < .01). Backward perturbation with lower acceleration and backward/forward perturbation with higher acceleration had deleterious effects on postural stability in people with diabetes mellitus.


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