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Biomechanical assessment of balance ...

Hahn, Michael Eugene.

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Biomechanical assessment of balance control in the elderly: Muscular weakness and dynamic instability.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Biomechanical assessment of balance control in the elderly: Muscular weakness and dynamic instability./
Author:	Hahn, Michael Eugene.
Description:	170 p.
Notes:	Source: Dissertation Abstracts International, Volume: 64-11, Section: B, page: 5436.
Contained By:	Dissertation Abstracts International64-11B.
Subject:	Health Sciences, Human Development. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3113008
ISBN:	0496605046

Biomechanical assessment of balance control in the elderly: Muscular weakness and dynamic instability.
Hahn, Michael Eugene.

Biomechanical assessment of balance control in the elderly: Muscular weakness and dynamic instability. - 170 p.

Source: Dissertation Abstracts International, Volume: 64-11, Section: B, page: 5436.

Thesis (Ph.D.)--University of Oregon, 2003.

Skeletal muscle strength is known to decline with age, and weakness has been reported as an important risk factor in older adults who have fallen, however relationships between strength-related measures of locomotion and balance control remain unclear. The purposes of this dissertation were to; (1) demonstrate the sensitivity of the center of mass (COM) in detecting dynamic stability, (2) examine age-related differences in dynamic balance control, (3) develop a model for assessing balance control with inputs of common gait measures, and (4) to categorize relative risk of falls in the elderly.

ISBN: 0496605046Subjects--Topical Terms:

1019218
Health Sciences, Human Development.

Biomechanical assessment of balance control in the elderly: Muscular weakness and dynamic instability.
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035 $a (UnM)AAI3113008
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100 1 $a Hahn, Michael Eugene. $3 1933770
245 1 0 $a Biomechanical assessment of balance control in the elderly: Muscular weakness and dynamic instability.
300 $a 170 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-11, Section: B, page: 5436.
500 $a Adviser: Li-Shan Chou.
502 $a Thesis (Ph.D.)--University of Oregon, 2003.
520 $a Skeletal muscle strength is known to decline with age, and weakness has been reported as an important risk factor in older adults who have fallen, however relationships between strength-related measures of locomotion and balance control remain unclear. The purposes of this dissertation were to; (1) demonstrate the sensitivity of the center of mass (COM) in detecting dynamic stability, (2) examine age-related differences in dynamic balance control, (3) develop a model for assessing balance control with inputs of common gait measures, and (4) to categorize relative risk of falls in the elderly.
520 $a Analysis of COM motion allowed elderly with balance impairment to be distinguished from healthy elderly, while motion of individual body segments did not. Further results revealed significant age-related differences in sagittal plane COM and center of pressure (COP) interaction, however dynamic instability was not detected in healthy elderly adults, when compared to young adults. Reduced COM-COP separation coincided with lower COM velocities during gait. These findings indicate conservative strategies for coping with age-related muscle strength reduction. Muscle activation data indicated that healthy elderly adults required greater proportions of their neuromuscular capacity during level walking and obstacle crossing.
520 $a A model was developed to map gait measurements onto balance control outcomes. Results indicated that a simple artificial neural network model is adequate for estimating dynamic stability from basic measures of gait analysis and neuromuscular activation. The model converged rapidly onto solutions with 20 hidden units or less, suggesting an ability to generalize the model to a broader sample.
520 $a The model was tested for applicability in estimating the relative risk of falls in elderly adults. Findings indicate that relative risk can be estimated with reasonably accurate results at the individual level. Clinical application of this model holds great potential for enhancing detection of balance impairment and further estimating the risk of falls, reducing incidence of falls and enhancing quality of life in the elderly.
590 $a School code: 0171.
650 4 $a Health Sciences, Human Development. $3 1019218
650 4 $a Engineering, Biomedical. $3 1017684
690 $a 0758
690 $a 0541
710 2 0 $a University of Oregon. $3 958250
773 0 $t Dissertation Abstracts International $g 64-11B.
790 1 0 $a Chou, Li-Shan, $e advisor
790 $a 0171
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3113008