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Leveraging Full-Body 3D Spatiotemporal Motion Capture Data for the Assessment of Biomechanical Function and Patient-Centric Factors in Musculoskeletal Impairments
Leveraging Full-Body 3D Spatiotemporal Motion Capture Data for the Assessment of Biomechanical Function and Patient-Centric Factors in Musculoskeletal Impairments
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202103548
- ISBN
- 9798288862359
- DDC
- 621
- 서명/저자
- Leveraging Full-Body 3D Spatiotemporal Motion Capture Data for the Assessment of Biomechanical Function and Patient-Centric Factors in Musculoskeletal Impairments
- 발행사항
- [Sl] : University of California, Berkeley, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 84 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-01, Section: B.
- 주기사항
- Advisor: O'Connell, Grace D.;Bailey, Jeannie F.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Berkeley, 2025.
- 초록/해제
- 요약Biomechanical analysis is essential for accurately understanding and monitoring musculoskeletal impairments, with implications for clinical research and diagnostics. However, current methods, including static goniometry and isolated kinematic measurements, fail to capture the complexity of full-body motion, often not accounting for inter-segmental relationships, time-series data, multiple degrees of freedom, or all relevant body landmarks. Therefore, 3D motion capture data was leveraged to develop a kinematic composite score that distills high-dimensional movement patterns into a clinically meaningful measure of biomechanical function.This research applies the kinematic composite score across various motion capture systems to investigate how movement quality relates to a broad range of patient factors and outcomes. First, biomechanical function of individuals with chronic low back pain was examined, identifying sex-based differences and exploring the potential of motion quality metrics to distinguish pain mechanisms. Additionally, the kinematic composite score was leveraged to explore recovery following total hip arthroplasty, revealing a relationship with muscle quality. Finally, the work details movement-evoked pain by measuring spinal and full-body kinematics. By providing a comprehensive evaluation of biomechanical function and its relationship to patient factors and clinical outcomes, this research advances our understanding of musculoskeletal disorders. Ultimately, these insights aim to enhance clinical decision-making and improve treatment strategies.
- 일반주제명
- Mechanical engineering
- 일반주제명
- Engineering
- 일반주제명
- Mechanics
- 기타저자
- University of California, Berkeley Mechanical Engineering
- 기본자료저록
- Dissertations Abstracts International. 87-01B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798288862359
■035 ▼a(MiAaPQ)AAI32041453
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621
■1001 ▼aArchibeck, Erin Sanchez.
■24510▼aLeveraging Full-Body 3D Spatiotemporal Motion Capture Data for the Assessment of Biomechanical Function and Patient-Centric Factors in Musculoskeletal Impairments
■260 ▼a[Sl]▼bUniversity of California, Berkeley▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a84 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-01, Section: B.
■500 ▼aAdvisor: O'Connell, Grace D.;Bailey, Jeannie F.
■5021 ▼aThesis (Ph.D.)--University of California, Berkeley, 2025.
■520 ▼aBiomechanical analysis is essential for accurately understanding and monitoring musculoskeletal impairments, with implications for clinical research and diagnostics. However, current methods, including static goniometry and isolated kinematic measurements, fail to capture the complexity of full-body motion, often not accounting for inter-segmental relationships, time-series data, multiple degrees of freedom, or all relevant body landmarks. Therefore, 3D motion capture data was leveraged to develop a kinematic composite score that distills high-dimensional movement patterns into a clinically meaningful measure of biomechanical function.This research applies the kinematic composite score across various motion capture systems to investigate how movement quality relates to a broad range of patient factors and outcomes. First, biomechanical function of individuals with chronic low back pain was examined, identifying sex-based differences and exploring the potential of motion quality metrics to distinguish pain mechanisms. Additionally, the kinematic composite score was leveraged to explore recovery following total hip arthroplasty, revealing a relationship with muscle quality. Finally, the work details movement-evoked pain by measuring spinal and full-body kinematics. By providing a comprehensive evaluation of biomechanical function and its relationship to patient factors and clinical outcomes, this research advances our understanding of musculoskeletal disorders. Ultimately, these insights aim to enhance clinical decision-making and improve treatment strategies.
■590 ▼aSchool code: 0028.
■650 4▼aMechanical engineering
■650 4▼aEngineering
■650 4▼aMechanics
■653 ▼aBiomechanical analysis
■653 ▼aMusculoskeletal impairments
■653 ▼aStatic goniometry
■653 ▼aKinematic composite score
■653 ▼aFull-body kinematics
■690 ▼a0548
■690 ▼a0346
■690 ▼a0537
■71020▼aUniversity of California, Berkeley▼bMechanical Engineering.
■7730 ▼tDissertations Abstracts International▼g87-01B.
■790 ▼a0028
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17357696▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
