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Modeling the wrist during wheelchair...

Shimada, Sean Darren.

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Modeling the wrist during wheelchair propulsion: Association between biomechanical measures and carpal tunnel syndrome.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling the wrist during wheelchair propulsion: Association between biomechanical measures and carpal tunnel syndrome./
Author:	Shimada, Sean Darren.
Description:	322 p.
Notes:	Source: Dissertation Abstracts International, Volume: 59-01, Section: B, page: 0189.
Contained By:	Dissertation Abstracts International59-01B.
Subject:	Health Sciences, Rehabilitation and Therapy. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9821284
ISBN:	059173043X

Modeling the wrist during wheelchair propulsion: Association between biomechanical measures and carpal tunnel syndrome.
Shimada, Sean Darren.

Modeling the wrist during wheelchair propulsion: Association between biomechanical measures and carpal tunnel syndrome. - 322 p.

Source: Dissertation Abstracts International, Volume: 59-01, Section: B, page: 0189.

Thesis (Ph.D.)--University of Pittsburgh, 1997.

Rehabilitation scientists and biomedical engineers have place recent emphasis on the investigation of wheelchair propulsion because of the high incidence of secondary injuries among manual wheelchair users (MWUs). It is well accepted that the MWU population is at greater risk for carpal tunnel syndrome (CTS) than the general population. Despite this agreement, there is a lack of studies that have investigated the possible mechanisms that contribute to CTS in MWUs.

ISBN: 059173043XSubjects--Topical Terms:

1017926
Health Sciences, Rehabilitation and Therapy.

Modeling the wrist during wheelchair propulsion: Association between biomechanical measures and carpal tunnel syndrome.
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008 130614s1997 eng d
020 $a 059173043X
035 $a (UnM)AAI9821284
035 $a AAI9821284
040 $a UnM $c UnM
100 1 $a Shimada, Sean Darren. $3 1933715
245 1 0 $a Modeling the wrist during wheelchair propulsion: Association between biomechanical measures and carpal tunnel syndrome.
300 $a 322 p.
500 $a Source: Dissertation Abstracts International, Volume: 59-01, Section: B, page: 0189.
500 $a Adviser: Rory A. Cooper.
502 $a Thesis (Ph.D.)--University of Pittsburgh, 1997.
520 $a Rehabilitation scientists and biomedical engineers have place recent emphasis on the investigation of wheelchair propulsion because of the high incidence of secondary injuries among manual wheelchair users (MWUs). It is well accepted that the MWU population is at greater risk for carpal tunnel syndrome (CTS) than the general population. Despite this agreement, there is a lack of studies that have investigated the possible mechanisms that contribute to CTS in MWUs.
520 $a In order to investigate the possible mechanisms that contribute to CTS, four wrist models were developed. A complete wrist kinematic and kinetic analysis of 20 subjects propelling a wheelchair at three speeds were performed. The biomechanical analysis of the 20 subjects revealed that the four wrist models did not reveal any differences. The models also resulted in similar biomechanical measures reported in the wheelchair propulsion literature. Despite the similarities between the four models, the study suggests the implementation of the midstyloid joint center model that neglects hand dynamics into future investigations.
520 $a This investigation additionally analyzed biomechanical measures and electrophysiological indicators of CTS for possible correlation's. The results revealed that five biomechanical measures correlated with the electrophysiological predictor variables. The five measures were: (1) flexion angle, (2) flexion moment, (3) extension moment, (4) extension moment-extension angle product, and (5) flexion moment-extension angle product. When a possible outlier was eliminated from the subject pool, four biomechanical variables continued to correlate with the electrophysiological predictor variables. The measures were: (1) flexion moment, (2) extension moment, (3) extension moment-extension angle product, and (4) flexion moment-extension angle.
520 $a The correlation analysis between the biomechanical measures and electrophysiological predictor variables was merely an exploratory investigation. The correlation analysis was implemented into the study to illustrate the importance of developing a wrist model that results in representative biomechanical measures. Future investigations should utilize a larger number of subjects in order to increase the power of study. The will provide a normal distribution of measures, in turn, possibly resulting in more significant findings.
590 $a School code: 0178.
650 4 $a Health Sciences, Rehabilitation and Therapy. $3 1017926
650 4 $a Health Sciences, Occupational Health and Safety. $3 1017799
650 4 $a Engineering, Biomedical. $3 1017684
690 $a 0382
690 $a 0354
690 $a 0541
710 2 0 $a University of Pittsburgh. $3 958527
773 0 $t Dissertation Abstracts International $g 59-01B.
790 1 0 $a Cooper, Rory A., $e advisor
790 $a 0178
791 $a Ph.D.
792 $a 1997
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9821284