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A biomechanical investigation of fem...

Freeman, Christopher C.

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A biomechanical investigation of female arm strength.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A biomechanical investigation of female arm strength./
Author:	Freeman, Christopher C.
Description:	133 p.
Notes:	Source: Masters Abstracts International, Volume: 45-01, page: 0305.
Contained By:	Masters Abstracts International45-01.
Subject:	Biology, Physiology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR17117
ISBN:	9780494171172

A biomechanical investigation of female arm strength.
Freeman, Christopher C.

A biomechanical investigation of female arm strength. - 133 p.

Source: Masters Abstracts International, Volume: 45-01, page: 0305.

Thesis (M.H.K.)--University of Windsor (Canada), 2006.

The purpose of the current study was to measure strength and develop regression equations that will predict the maximal capabilities for hand forces exerted in a variety of directions and positions. A biomechanical methodology was utilized to examine 29 non-skilled female subjects exerting maximal forces against a simulation device. Combinations of three heights (head height, shoulder height, waist height), three angles (0°, 45°, and 90° to sagittal shoulder plane), and two reaches (40% and 80% of full reach) were tested for maximal force in six directions (push forward, pull backward, push up, push down, medial, lateral). Using the force data, 12 regression equations were developed to predict average maximum force for the working female population. For each direction, an equation was developed for exertions ≥ shoulder height and for exertions ≤ shoulder height. These equations use inputs of various combinations of distance in the vertical, horizontal and lateral direction from the shoulder. The regression equations resulted in r2 values ranging from 86.0% (lateral) to 98.9% (medial) and RMS errors ranging from 8.0% (push down) to 3.0% (medial). With a mean r 2 of 94.6% and RMS %Error of 5.4%, the equations produced very accurate predictions. Using a correction factor of 0.808, each equation can be used to predict the maximum recommended force for 75th percentile of females. In addition to the force results, electromyography results provided information on muscle activity during the exertions in all postures. (Abstract shortened by UMI.)

ISBN: 9780494171172Subjects--Topical Terms:

1017816
Biology, Physiology.

A biomechanical investigation of female arm strength.
LDR:02361nam 2200265 a 45 001 969248
005 20110920
008 110921s2006 eng d
020 $a 9780494171172
035 $a (UMI)AAIMR17117
035 $a AAIMR17117
040 $a UMI $c UMI
100 1 $a Freeman, Christopher C. $3 1293302
245 1 2 $a A biomechanical investigation of female arm strength.
300 $a 133 p.
500 $a Source: Masters Abstracts International, Volume: 45-01, page: 0305.
502 $a Thesis (M.H.K.)--University of Windsor (Canada), 2006.
520 $a The purpose of the current study was to measure strength and develop regression equations that will predict the maximal capabilities for hand forces exerted in a variety of directions and positions. A biomechanical methodology was utilized to examine 29 non-skilled female subjects exerting maximal forces against a simulation device. Combinations of three heights (head height, shoulder height, waist height), three angles (0°, 45°, and 90° to sagittal shoulder plane), and two reaches (40% and 80% of full reach) were tested for maximal force in six directions (push forward, pull backward, push up, push down, medial, lateral). Using the force data, 12 regression equations were developed to predict average maximum force for the working female population. For each direction, an equation was developed for exertions ≥ shoulder height and for exertions ≤ shoulder height. These equations use inputs of various combinations of distance in the vertical, horizontal and lateral direction from the shoulder. The regression equations resulted in r2 values ranging from 86.0% (lateral) to 98.9% (medial) and RMS errors ranging from 8.0% (push down) to 3.0% (medial). With a mean r 2 of 94.6% and RMS %Error of 5.4%, the equations produced very accurate predictions. Using a correction factor of 0.808, each equation can be used to predict the maximum recommended force for 75th percentile of females. In addition to the force results, electromyography results provided information on muscle activity during the exertions in all postures. (Abstract shortened by UMI.)
590 $a School code: 0115.
650 4 $a Biology, Physiology. $3 1017816
650 4 $a Health Sciences, Recreation. $3 1018003
650 4 $a Biology, Anatomy. $3 1021727
690 $a 0287
690 $a 0575
690 $a 0719
710 2 0 $a University of Windsor (Canada). $3 1018526
773 0 $t Masters Abstracts International $g 45-01.
790 $a 0115
791 $a M.H.K.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR17117