자료유형  

 학위논문

Control Number  

0017163963

International Standard Book Number  

9798383728277

Dewey Decimal Classification Number  

620.8

Main Entry-Personal Name  

Stewart, Harper E.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of Southern California., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

98 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-02, Section: B.

General Note  

Advisor: McNitt-Gray, Jill L.

Dissertation Note  

Thesis (Ph.D.)--University of Southern California, 2024.

Summary, Etc.  

요약In the field of biomechanics, we rely on principles of physics and biology in order to study the control and dynamics of human movement. For years, there have been studies done in labs across the world using techniques for collecting kinetic and kinematic data. The disparate methods for employing the fundamental equations of motion have limited standardization for managing data in biomechanics. These challenges are similar to those faced in the medical imaging community standardizing CT scans or MRIs. The development of the Integrated Biomechanics Informatics System (IBIS) aims to standardize data management practices in biomechanics to provide timely and accurate feedback to coaches, athletes, clinicians, and patients. Through the continued work on the IBIS system, we are making headway on the ability to understand the control and dynamics of human movement in realistic contexts.One application of the IBIS system is to use bioinformatics to identify injury risk, improve performance, and facilitate learning for athletes that participate regularly in track and field. The organized data sets in the IBIS system were leveraged to fill essential knowledge gaps for coaches and athletes in steady-state running, long and triple jump, and sprinting. For elite endurance runners in the Pac-12 conference, we characterized force-time curves at training pace to determine if attributes were different between injured and non-injured runners. In the long jump, we characterized whole-body and multi-joint control during the takeoff of full jumps and popoffs. This was used to determine to what degree popoffs are representative of the multi-joint control needed in a full jump. Finally, for sprinting we integrated force and video data using force-time curves and force vector overlay representations. These were used to facilitate learning and inform coaching decisions and feedback during an interactive training session on the track. Adopting best practices in imaging informatics enabled us to leverage the IBIS system to study these research questions.

Subject Added Entry-Topical Term  

Biomechanics.

Subject Added Entry-Topical Term  

Bioinformatics.

Subject Added Entry-Topical Term  

Biomedical engineering.

Subject Added Entry-Topical Term  

Medical imaging.

Index Term-Uncontrolled  

Integrated Biomechanics Informatics System

Index Term-Uncontrolled  

Injury risk

Index Term-Uncontrolled  

Joint kinetics

Index Term-Uncontrolled  

Running

Index Term-Uncontrolled  

Sport science

Added Entry-Corporate Name  

University of Southern California Biomedical Engineering

Host Item Entry  

Dissertations Abstracts International. 86-02B.

Electronic Location and Access  

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Control Number  

joongbu:656851