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Analysis of performance capacity of ...

Torres, Miguel.

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Analysis of performance capacity of hand grip through an integrated learning curve model.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Analysis of performance capacity of hand grip through an integrated learning curve model./
作者:	Torres, Miguel.
面頁冊數:	57 p.
附註:	Source: Masters Abstracts International, Volume: 42-01, page: 0310.
Contained By:	Masters Abstracts International42-01.
標題:	Engineering, Industrial. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1414933

Analysis of performance capacity of hand grip through an integrated learning curve model.
Torres, Miguel.

Analysis of performance capacity of hand grip through an integrated learning curve model. - 57 p.

Source: Masters Abstracts International, Volume: 42-01, page: 0310.

Thesis (M.S.)--The University of Texas - Pan American, 2003.

There are few activities or work task in the manufacturing industry that does not involve grip strength. That is why it is in the best interest of the manufacturing industry to have an understanding of the optimum grip strength gain capacity over time that would lead to better performance, accuracy and most of all prevent hand grip related injuries. For that reason, this thesis was concentrated in discovering a possible basic working model for estimating grip strength over time for a specific grip strength activity. The first step was to observe the trend characteristics of the strength gain data over time from several participants on a particular grip related task. The next step was to find a mathematical model that could best estimate grip strength gains for that particular group. A performance capacity training regimen was designed for hand grip to collect data and observe this grip strength gains. The training regimen consisted of a four weeks training period, a two weeks layoff period, and a five week retraining period. Observations were noted for the gains between the layoff period, the gains before and after the lay off break. The data obtained was fitted with several regressions to determine if there is a general function that would fit all the participants' data. Once the best regression model was found, a linearization approach was implemented to observe their slopes (grip strength gain rate) and y-intercepts (initial grip strength) in an attempt to determine if it is possible to use a single function model to estimate grip strength gain for a particular group.Subjects--Topical Terms:

626639
Engineering, Industrial.

Analysis of performance capacity of hand grip through an integrated learning curve model.
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245 1 0 $a Analysis of performance capacity of hand grip through an integrated learning curve model.
300 $a 57 p.
500 $a Source: Masters Abstracts International, Volume: 42-01, page: 0310.
500 $a Chair: Miguel A. Gonzalez.
502 $a Thesis (M.S.)--The University of Texas - Pan American, 2003.
520 $a There are few activities or work task in the manufacturing industry that does not involve grip strength. That is why it is in the best interest of the manufacturing industry to have an understanding of the optimum grip strength gain capacity over time that would lead to better performance, accuracy and most of all prevent hand grip related injuries. For that reason, this thesis was concentrated in discovering a possible basic working model for estimating grip strength over time for a specific grip strength activity. The first step was to observe the trend characteristics of the strength gain data over time from several participants on a particular grip related task. The next step was to find a mathematical model that could best estimate grip strength gains for that particular group. A performance capacity training regimen was designed for hand grip to collect data and observe this grip strength gains. The training regimen consisted of a four weeks training period, a two weeks layoff period, and a five week retraining period. Observations were noted for the gains between the layoff period, the gains before and after the lay off break. The data obtained was fitted with several regressions to determine if there is a general function that would fit all the participants' data. Once the best regression model was found, a linearization approach was implemented to observe their slopes (grip strength gain rate) and y-intercepts (initial grip strength) in an attempt to determine if it is possible to use a single function model to estimate grip strength gain for a particular group.
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650 4 $a Health Sciences, Occupational Health and Safety. $3 1017799
650 4 $a Biology, Anatomy. $3 1021727
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710 2 0 $a The University of Texas - Pan American. $3 1019447
773 0 $t Masters Abstracts International $g 42-01.
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