Literature DB >> 17686633

Dynamic stability differences in fall-prone and healthy adults.

Kevin P Granata1, Thurmon E Lockhart.   

Abstract

Typical stability assessments characterize performance in standing balance despite the fact that most falls occur during dynamic activities such as walking. The objective of this study was to identify dynamic stability differences between fall-prone elderly individuals, healthy age-matched adults, and young adults. Three-dimensional video-motion analysis kinematic data were recorded for 35 contiguous steps while subjects walked on a treadmill at three speeds. From this data, we estimated the vector from the center-of-mass to the center of pressure at each foot-strike. Dynamic stability of walking was computed by methods of Poincare analyses of these vectors. Results revealed that the fall-prone group demonstrated poorer dynamic stability than the healthy elderly and young adult groups. Stability was not influenced by walking velocity, indicating that group differences in walking speed could not fully explain the differences in stability. This pilot study supports the need for future investigations using larger population samples to study fall-prone individuals using nonlinear dynamic analyses of movement kinematics.

Mesh:

Year:  2007        PMID: 17686633      PMCID: PMC2895268          DOI: 10.1016/j.jelekin.2007.06.008

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  38 in total

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  41 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

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3.  Dynamic stability of human walking in visually and mechanically destabilizing environments.

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Review 4.  Using dynamic walking models to identify factors that contribute to increased risk of falling in older adults.

Authors:  Paulien E Roos; Jonathan B Dingwell
Journal:  Hum Mov Sci       Date:  2013-10-10       Impact factor: 2.161

5.  Influence of neuromuscular noise and walking speed on fall risk and dynamic stability in a 3D dynamic walking model.

Authors:  Paulien E Roos; Jonathan B Dingwell
Journal:  J Biomech       Date:  2013-05-06       Impact factor: 2.712

6.  Influence of simulated neuromuscular noise on the dynamic stability and fall risk of a 3D dynamic walking model.

Authors:  Paulien E Roos; Jonathan B Dingwell
Journal:  J Biomech       Date:  2011-03-26       Impact factor: 2.712

7.  Kinematic measures for assessing gait stability in elderly individuals: a systematic review.

Authors:  D Hamacher; N B Singh; J H Van Dieën; M O Heller; W R Taylor
Journal:  J R Soc Interface       Date:  2011-08-31       Impact factor: 4.118

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Journal:  J R Soc Interface       Date:  2013-03-20       Impact factor: 4.118

9.  Estimating dynamic gait stability using data from non-aligned inertial sensors.

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10.  Foot placement control and gait instability among people with stroke.

Authors:  Jesse C Dean; Steven A Kautz
Journal:  J Rehabil Res Dev       Date:  2015
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