Locomotion Pattern Prediction Based on Whole-Body Angular and Linear Momentum Variations

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Material Information

Title:
Locomotion Pattern Prediction Based on Whole-Body Angular and Linear Momentum Variations
Physical Description:
1 online resource (96 p.)
Language:
english
Creator:
Jackson, Jennifer N
Publisher:
University of Florida
Place of Publication:
Gainesville, Fla.
Publication Date:

Thesis/Dissertation Information

Degree:
Doctorate ( Ph.D.)
Degree Grantor:
University of Florida
Degree Disciplines:
Biomedical Engineering
Committee Chair:
FREGLY,BENJAMIN J
Committee Co-Chair:
BANKS,SCOTT ARTHUR
Committee Members:
CONRAD,BRYAN
HASS,CHRISTOPHER J
DE WITT,JOHN

Subjects

Subjects / Keywords:
biomechanics -- contact -- dynamics -- ground -- modeling -- momentum
Biomedical Engineering -- Dissertations, Academic -- UF
Genre:
Biomedical Engineering thesis, Ph.D.
bibliography   ( marcgt )
theses   ( marcgt )
government publication (state, provincial, terriorial, dependent)   ( marcgt )
born-digital   ( sobekcm )
Electronic Thesis or Dissertation

Notes

Abstract:
800x600 Computational models are valuable for developing andtesting hypotheses that otherwise would be infeasible to exploreexperimentally. They can also provide a theoretical framework to explainexperimental observations. In the case of pathological gait, despite manystudies reporting that the central nervous system (CNS) regulates angularmomentum during walking, no simple control law currently exists to explain howthe CNS makes walking efficient or even possible. Fewer studies have looked athow linear momentum is regulated during human locomotion, although recentfindings indicate regulation occurs for various locomotion tasks. Acomputational model that uses basic momentum considerations to predictachievable, improved gait patterns for individuals with pathological gait couldbe a valuable tool to aid clinicians in making objective, highly effectivetreatment decisions. To create a framework for predictive gait optimization, themain objectives are to: 1) Eliminate the pelvis residual loads and improve footmarker tracking by enhancing the residual elimination algorithm through markerweight, tracked acceleration curve, feedback gain, and select model joint andinertial parameter adjustments; 2) Develop a foot-ground contact model thatmatches all three force components, center of pressure location, and freemoment for both feet using physics to model the foot-ground interactions; 3) Demonstratethat whole-body momentum variations for gait tasks cluster differently from oneanother and that these clusters can be viewed as “momentum signatures” fordifferent gait patterns; and 4) Develop an optimization methodology to predictdifferent subject-specific gait patterns using a subject-specific computationalmodel that matches a specified momentum signature. Eliminating the residualloads makes the resulting motions dynamically consistent while closely trackingthe foot markers. This is essential for use with the foot-ground contact modelthat frees up the motion of the foot, which was constrained using previousinverse dynamics methods. Although this method did not yield desired results,other methods utilizing implicit numerical integration may have success usingthe developed foot-ground contact model to predict new motions based onexperimental data and whole-body angular and linear momentum principles, whichmay help identify where to focus rehabilitation efforts that are likely toproduce the largest functional improvement for a particular patient. Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable{mso-style-name:"Table Normal";mso-tstyle-rowband-size:0;mso-tstyle-colband-size:0;mso-style-noshow:yes;mso-style-priority:99;mso-style-parent:"";mso-padding-alt:0in 5.4pt 0in 5.4pt;mso-para-margin:0in;mso-para-margin-bottom:.0001pt;mso-pagination:widow-orphan;font-size:10.0pt;font-family:"Times New Roman","serif";}
General Note:
In the series University of Florida Digital Collections.
General Note:
Includes vita.
Bibliography:
Includes bibliographical references.
Source of Description:
Description based on online resource; title from PDF title page.
Source of Description:
This bibliographic record is available under the Creative Commons CC0 public domain dedication. The University of Florida Libraries, as creator of this bibliographic record, has waived all rights to it worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.
Statement of Responsibility:
by Jennifer N Jackson.
Thesis:
Thesis (Ph.D.)--University of Florida, 2013.
Local:
Adviser: FREGLY,BENJAMIN J.
Local:
Co-adviser: BANKS,SCOTT ARTHUR.
Electronic Access:
RESTRICTED TO UF STUDENTS, STAFF, FACULTY, AND ON-CAMPUS USE UNTIL 2014-12-31

Record Information

Source Institution:
UFRGP
Rights Management:
Applicable rights reserved.
Classification:
lcc - LD1780 2013
System ID:
UFE0044507:00001