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Two-dimensional measurements of dyna...

Agnew, Michael James.

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Two-dimensional measurements of dynamic cumulative spine loading in real-time.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Two-dimensional measurements of dynamic cumulative spine loading in real-time./
Author:	Agnew, Michael James.
Description:	72 p.
Notes:	Source: Masters Abstracts International, Volume: 42-03, page: 0935.
Contained By:	Masters Abstracts International42-03.
Subject:	Health Sciences, Rehabilitation and Therapy. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MQ84574
ISBN:	0612845745

Two-dimensional measurements of dynamic cumulative spine loading in real-time.
Agnew, Michael James.

Two-dimensional measurements of dynamic cumulative spine loading in real-time. - 72 p.

Source: Masters Abstracts International, Volume: 42-03, page: 0935.

Thesis (M.H.K.)--University of Windsor (Canada), 2003.

The purpose of this study was to develop a real time method for documenting the cumulative low back loads present in lifting tasks using a simplified regression based biomechanical model. Following model development, custom software was created and used with an electromagnetic tracking device (Fastrak(TM)) to calculate cumulative loads in real-time. Estimates obtained from the real-time method (cumulative joint compression, anterior joint shear, posterior joint shear) were compared to estimates from a dynamic link segment biomechanical model (GOBER). Estimates obtained by the real-time method were statistically different than the dynamic biomechanical model in estimates of cumulative compression and cumulative anterior shear force (p = 0.018, and p = 0.014), while measures of cumulative posterior joint shear were shown to be statistically similar (p = 0.763). However, further analyses of the real-time method results indicated relative errors of -3.4% +/- 3.57%, 4.88% +/- 6.47%, and -10.34% +/- 33.27% for measurements of cumulative joint compression, anterior joint shear, and posterior joint shear, with cumulative RMS errors of 0.636 kN·s, 34.92 N·s, and 53.73 N·s, respectively. These results indicated that the developed model performs comparably with alternate documented methods used for cumulative load estimation. Therefore it was concluded that the proposed real-time method is valid and could be used for future examinations of cumulative low back loads incurred during sagittal lifting and lowering tasks.

ISBN: 0612845745Subjects--Topical Terms:

1017926
Health Sciences, Rehabilitation and Therapy.

Two-dimensional measurements of dynamic cumulative spine loading in real-time.
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035 $a (UnM)AAIMQ84574
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100 1 $a Agnew, Michael James. $3 1925140
245 1 0 $a Two-dimensional measurements of dynamic cumulative spine loading in real-time.
300 $a 72 p.
500 $a Source: Masters Abstracts International, Volume: 42-03, page: 0935.
500 $a Adviser: David M. Andrews.
502 $a Thesis (M.H.K.)--University of Windsor (Canada), 2003.
520 $a The purpose of this study was to develop a real time method for documenting the cumulative low back loads present in lifting tasks using a simplified regression based biomechanical model. Following model development, custom software was created and used with an electromagnetic tracking device (Fastrak(TM)) to calculate cumulative loads in real-time. Estimates obtained from the real-time method (cumulative joint compression, anterior joint shear, posterior joint shear) were compared to estimates from a dynamic link segment biomechanical model (GOBER). Estimates obtained by the real-time method were statistically different than the dynamic biomechanical model in estimates of cumulative compression and cumulative anterior shear force (p = 0.018, and p = 0.014), while measures of cumulative posterior joint shear were shown to be statistically similar (p = 0.763). However, further analyses of the real-time method results indicated relative errors of -3.4% +/- 3.57%, 4.88% +/- 6.47%, and -10.34% +/- 33.27% for measurements of cumulative joint compression, anterior joint shear, and posterior joint shear, with cumulative RMS errors of 0.636 kN·s, 34.92 N·s, and 53.73 N·s, respectively. These results indicated that the developed model performs comparably with alternate documented methods used for cumulative load estimation. Therefore it was concluded that the proposed real-time method is valid and could be used for future examinations of cumulative low back loads incurred during sagittal lifting and lowering tasks.
590 $a School code: 0115.
650 4 $a Health Sciences, Rehabilitation and Therapy. $3 1017926
650 4 $a Applied Mechanics. $3 1018410
690 $a 0382
690 $a 0346
710 2 0 $a University of Windsor (Canada). $3 1018526
773 0 $t Masters Abstracts International $g 42-03.
790 1 0 $a Andrews, David M., $e advisor
790 $a 0115
791 $a M.H.K.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MQ84574