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A model of gait performance based on...

Carollo, James Jeffrey.

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A model of gait performance based on functional sub-system quantification.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A model of gait performance based on functional sub-system quantification./
作者:	Carollo, James Jeffrey.
面頁冊數:	281 p.
附註:	Source: Dissertation Abstracts International, Volume: 59-09, Section: B, page: 4947.
Contained By:	Dissertation Abstracts International59-09B.
標題:	Engineering, Biomedical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9904161
ISBN:	0599015535

A model of gait performance based on functional sub-system quantification.
Carollo, James Jeffrey.

A model of gait performance based on functional sub-system quantification. - 281 p.

Source: Dissertation Abstracts International, Volume: 59-09, Section: B, page: 4947.

Thesis (Ph.D.)--The University of Texas at Arlington, 1998.

In this experiment, a new model was developed to predict overall gait performance in mature women at risk for falling, using 12 sub-system performance capacity measures that collectively described their strength, balance, and lower limb coordination. The model was based on an analytical framework refined over the last decade for general systems performance modeling (GSPT), and empirical data collected from female subjects who had documented clinical deficiencies in either strength, balance, or coordination. A total of 31 subjects from 5 different test groups were comprehensively tested on 2 separate occasions. Test results from the 25 subjects in groups I (strength deficient), II (balance deficient), III (coordination deficient), and V (deficit free, normal) were used to derive separate models predicting 3 measures of overall gait performance (walking speed, inverse physiologic cost index: 1/PCI, and expert rating of gait performance) while each subject performed 2 distinct gait tasks (normal and fast speed walking). Corresponding multiple regression models were derived using the same data set, and were compared to the results obtained from the gait performance models using only the data from group IV (documented fallers, n = 6, tested twice), that had not been used in either model's derivation.

ISBN: 0599015535Subjects--Topical Terms:

1017684
Engineering, Biomedical.

A model of gait performance based on functional sub-system quantification.
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520 $a In this experiment, a new model was developed to predict overall gait performance in mature women at risk for falling, using 12 sub-system performance capacity measures that collectively described their strength, balance, and lower limb coordination. The model was based on an analytical framework refined over the last decade for general systems performance modeling (GSPT), and empirical data collected from female subjects who had documented clinical deficiencies in either strength, balance, or coordination. A total of 31 subjects from 5 different test groups were comprehensively tested on 2 separate occasions. Test results from the 25 subjects in groups I (strength deficient), II (balance deficient), III (coordination deficient), and V (deficit free, normal) were used to derive separate models predicting 3 measures of overall gait performance (walking speed, inverse physiologic cost index: 1/PCI, and expert rating of gait performance) while each subject performed 2 distinct gait tasks (normal and fast speed walking). Corresponding multiple regression models were derived using the same data set, and were compared to the results obtained from the gait performance models using only the data from group IV (documented fallers, n = 6, tested twice), that had not been used in either model's derivation.
520 $a The results of a two-way, repeated measures ANOVA (factors: model type and test date, $\alpha$ = 0.05) showed that when the absolute difference between a model's prediction and each subject's measured performance was calculated, the difference was significantly smaller (more accurate prediction) using the gait performance model compared to the corresponding multiple regression model, for expert rating of gait performance in both the normal and fast speed gait tasks. The same analysis found no significant difference between the models for walking velocity and 1/PCI. These results substantiate the use of threshold (NCRA) models for predicting overall gait performance from gait sub-system measures, provides initial validation of its use in women at risk for falling, and offers further justification for the GSPT approach to human performance modeling.
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