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Mechanical Modeling and Analysis of ...

Arauz, Paul Gonzalo.

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Mechanical Modeling and Analysis of Human Motion for Rehabilitation and Sports.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mechanical Modeling and Analysis of Human Motion for Rehabilitation and Sports./
Author:	Arauz, Paul Gonzalo.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:	155 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-03(E), Section: B.
Contained By:	Dissertation Abstracts International78-03B(E).
Subject:	Biomechanics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10165678
ISBN:	9781369200546

Mechanical Modeling and Analysis of Human Motion for Rehabilitation and Sports.
Arauz, Paul Gonzalo.

Mechanical Modeling and Analysis of Human Motion for Rehabilitation and Sports. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 155 p.

Source: Dissertation Abstracts International, Volume: 78-03(E), Section: B.

Thesis (Ph.D.)--State University of New York at Stony Brook, 2016.

Modeling and analysis of human motion is important in rehabilitation and sports. To understand functional movements, dynamics of joints, power requirements, and athletic performance, kinematic and kinetic models have to be developed to implement and assess rehabilitation techniques that are applied to unimpaired individuals and patients with movement disorders. In addition, mechanical models are required to evaluate and quantify athletes' skills and performance, in order to reduce the risk of potential injuries. For many years, many research efforts have been presented in the field of rehabilitation and movement performance.

ISBN: 9781369200546Subjects--Topical Terms:

548685
Biomechanics.

Mechanical Modeling and Analysis of Human Motion for Rehabilitation and Sports.
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020 $a 9781369200546
035 $a (MiAaPQ)AAI10165678
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100 1 $a Arauz, Paul Gonzalo. $3 3342885
245 1 0 $a Mechanical Modeling and Analysis of Human Motion for Rehabilitation and Sports.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 155 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-03(E), Section: B.
500 $a Adviser: Imin Kao.
502 $a Thesis (Ph.D.)--State University of New York at Stony Brook, 2016.
520 $a Modeling and analysis of human motion is important in rehabilitation and sports. To understand functional movements, dynamics of joints, power requirements, and athletic performance, kinematic and kinetic models have to be developed to implement and assess rehabilitation techniques that are applied to unimpaired individuals and patients with movement disorders. In addition, mechanical models are required to evaluate and quantify athletes' skills and performance, in order to reduce the risk of potential injuries. For many years, many research efforts have been presented in the field of rehabilitation and movement performance.
520 $a This dissertation presents research in mechanical modeling and analysis of human motion focusing on rehabilitation and prevention of sports injury. In particular, the analysis to determine appropriate arthrodesis angle for fingers, as well as the modeling to quantify upper limb joint forces and moments in American football players were investigated.
520 $a Several aspects of simulated index finger proximal interphalangeal (PIP) arthrodesis were investigated. First, assessment of quantitative measures of workspace (WS) attributes under simulated PIP joint arthrodesis of the index finger was conducted. Seven healthy subjects were tested with the PIP joint unconstrained and constrained to selected angles. A model of the constrained finger was developed in order to address the impact of the inclusion of prescribed joint arthrodesis angles on WS attributes. A weighted criterion was formulated to define an optimal constraint angle among several system parameters. Experimental and theoretical modeling results are compared and presented. Secondly, the range of motion (ROM) of the joints and manipulabilities at three selected tip-pinch manipulation postures of the finger were studied experimentally under imposed PIP joint arthrodesis angles. A kinematic model of the index finger was used in experiments which involves three postures. Experimental results are presented. In addition, a general methodology to model the kinematics of a joint constrained finger was investigated. The impact of the inclusion of a specific joint constraint was investigated using two-dimensional (2D) and three-dimensional (3D) workspaces, as well as manipulability measures and ellipsoids. Next, analysis of the effect of simulated PIP joint arthrodesis on distal interphalangeal (DIP) joint free flexion-extension (FE) and maximal voluntary pinch forces was performed. Experiments were conducted using five healthy subjects with the PIP joint unconstrained and constrained to selected angles. Results are presented and discussed. The results of this research facilitate surgeons to determine the optimal fusion angle for joints of human fingers before the arthrodesis operation.
520 $a Finally, an inverse dynamics model of the upper limb was developed to test an experimental protocol to measure upper limb joint forces and moments generated by American football players during simulated blocking. An experimenter with football experience volunteered for this study. The maximum blocking force was measured with a custom-built sled including five load cells. 3D motion and kinetics of the football player were measured during hitting of the blocking sled. Model results are presented and discussed. This research provides the understanding of dynamics of the upper limb in order to prevent sport injuries.
590 $a School code: 0771.
650 4 $a Biomechanics. $3 548685
650 4 $a Mechanical engineering. $3 649730
650 4 $a Biomedical engineering. $3 535387
690 $a 0648
690 $a 0548
690 $a 0541
710 2 $a State University of New York at Stony Brook. $b Mechanical Engineering. $3 1674203
773 0 $t Dissertation Abstracts International $g 78-03B(E).
790 $a 0771
791 $a Ph.D.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10165678