Identifying Injury Risk, Improving Performance, and Facilitating Learning Using an Integrated Biomechanics Informatics System (IBIS)
Identifying Injury Risk, Improving Performance, and Facilitating Learning Using an Integrated Biomechanics Informatics System (IBIS)
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211152815
- ISBN
- 9798383728277
- DDC
- 620.8
- 서명/저자
- Identifying Injury Risk, Improving Performance, and Facilitating Learning Using an Integrated Biomechanics Informatics System (IBIS)
- 발행사항
- [Sl] : University of Southern California, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 98 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
- 주기사항
- Advisor: McNitt-Gray, Jill L.
- 학위논문주기
- Thesis (Ph.D.)--University of Southern California, 2024.
- 초록/해제
- 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.
- 일반주제명
- Biomechanics
- 일반주제명
- Bioinformatics
- 일반주제명
- Biomedical engineering
- 일반주제명
- Medical imaging
- 키워드
- Injury risk
- 키워드
- Joint kinetics
- 키워드
- Running
- 키워드
- Sport science
- 기타저자
- University of Southern California Biomedical Engineering
- 기본자료저록
- Dissertations Abstracts International. 86-02B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798383728277
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■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a620.8
■1001 ▼aStewart, Harper E.
■24510▼aIdentifying Injury Risk, Improving Performance, and Facilitating Learning Using an Integrated Biomechanics Informatics System (IBIS)
■260 ▼a[Sl]▼bUniversity of Southern California▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a98 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-02, Section: B.
■500 ▼aAdvisor: McNitt-Gray, Jill L.
■5021 ▼aThesis (Ph.D.)--University of Southern California, 2024.
■520 ▼aIn 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.
■590 ▼aSchool code: 0208.
■650 4▼aBiomechanics
■650 4▼aBioinformatics
■650 4▼aBiomedical engineering
■650 4▼aMedical imaging
■653 ▼aIntegrated Biomechanics Informatics System
■653 ▼aInjury risk
■653 ▼aJoint kinetics
■653 ▼aRunning
■653 ▼aSport science
■690 ▼a0648
■690 ▼a0715
■690 ▼a0541
■690 ▼a0574
■71020▼aUniversity of Southern California▼bBiomedical Engineering.
■7730 ▼tDissertations Abstracts International▼g86-02B.
■790 ▼a0208
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17163963▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
