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Development of Digital Outcome Measures of Cognitive and Motor Function Using Remote Assessment in People With Multiple Sclerosis: Advancing Sensor-Based Measurement for Clinical Trials
Development of Digital Outcome Measures of Cognitive and Motor Function Using Remote Assessment in People With Multiple Sclerosis: Advancing Sensor-Based Measurement for Clinical Trials
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260311091510.5
- ISBN
- 9798286418923
- DDC
- 610.285
- 서명/저자
- Development of Digital Outcome Measures of Cognitive and Motor Function Using Remote Assessment in People With Multiple Sclerosis: Advancing Sensor-Based Measurement for Clinical Trials / Matthew Scaramozza
- 발행사항
- [Sl] : The University of Wisconsin - Madison, 2025
- 형태사항
- 1 electronic resource (171 pages)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-12, Section: B.
- 주기사항
- Advisors: Johnson, Sterling Committee members: Zuelsdorff, Megan; Luzzio, Christopher; Lake, Wendell; Gangnon, Ronald.
- 학위논문주기
- - Ph.D. : The University of Wisconsin - Madison, 2025.
- 초록/해제
- 요약MS is a neurological disease that follows a heterogenous disease course across individuals, often impacting lower limb function, cognition, gait/posture, and fine motor function. Accurate measurement of function is essential for development of new therapies yet remains a challenge given reliance on infrequent in-clinic assessments which may not adequately capture function or subtle disease progression. Smartphone sensor-based assessment tools have potential to enhance the assessment of cognitive and motor function in neurological disorders by enabling objective, frequent, remote data collection. Sensor-based assessments can be used to generate vast amounts of data which raises a challenge for researchers when selecting sensitive and reliable digital measures. The current work utilizes smartphone-based assessment data from a cross-sectional study of people with MS and healthy participants to select sensor-based measures of motor and cognitive function for validation. Selected measures are characterized in terms of basic measurement properties. A systematic literature review focused on gait impairment in MS is also presented to develop a set of standardized gait domain definitions and recommended digital outcome measures to capture impairment in these domains. This work contributes to the field of digital endpoint development by characterizing the psychometric properties of smartphone-based measures of cognitive processing speed and motor function in MS, and by proposing systematic frameworks to aid in selection and validation of digital outcome measures in people with MS.
- 언어주기
- English
- 일반주제명
- Health sciences
- 일반주제명
- Biomedical engineering
- 일반주제명
- Bioengineering
- 일반주제명
- Cognitive psychology
- 기타저자
- The University of Wisconsin - Madison Clinical Investigation - MED
- 기본자료저록
- Dissertations Abstracts International. 86-12B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798286418923
■040 ▼aMiAaPQD▼beng▼cMiAaPQD▼erda
■082 ▼a610.285
■1001 ▼aScaramozza, Matthew▼eauthor.
■24510▼aDevelopment of Digital Outcome Measures of Cognitive and Motor Function Using Remote Assessment in People With Multiple Sclerosis: Advancing Sensor-Based Measurement for Clinical Trials ▼cMatthew Scaramozza
■260 ▼a[Sl]▼bThe University of Wisconsin - Madison▼c2025
■264 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a1 electronic resource (171 pages)
■336 ▼atext▼btxt▼2rdacontent
■337 ▼acomputer▼bc▼2rdamedia
■338 ▼aonline resource▼bcr▼2rdacarrier
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-12, Section: B.
■500 ▼aAdvisors: Johnson, Sterling Committee members: Zuelsdorff, Megan; Luzzio, Christopher; Lake, Wendell; Gangnon, Ronald.
■5021 ▼bPh.D.▼cThe University of Wisconsin - Madison▼d2025.
■520 ▼aMS is a neurological disease that follows a heterogenous disease course across individuals, often impacting lower limb function, cognition, gait/posture, and fine motor function. Accurate measurement of function is essential for development of new therapies yet remains a challenge given reliance on infrequent in-clinic assessments which may not adequately capture function or subtle disease progression. Smartphone sensor-based assessment tools have potential to enhance the assessment of cognitive and motor function in neurological disorders by enabling objective, frequent, remote data collection. Sensor-based assessments can be used to generate vast amounts of data which raises a challenge for researchers when selecting sensitive and reliable digital measures. The current work utilizes smartphone-based assessment data from a cross-sectional study of people with MS and healthy participants to select sensor-based measures of motor and cognitive function for validation. Selected measures are characterized in terms of basic measurement properties. A systematic literature review focused on gait impairment in MS is also presented to develop a set of standardized gait domain definitions and recommended digital outcome measures to capture impairment in these domains. This work contributes to the field of digital endpoint development by characterizing the psychometric properties of smartphone-based measures of cognitive processing speed and motor function in MS, and by proposing systematic frameworks to aid in selection and validation of digital outcome measures in people with MS.
■546 ▼aEnglish
■590 ▼aSchool code: 0262
■650 4▼aHealth sciences
■650 4▼aBiomedical engineering
■650 4▼aBioengineering
■650 4▼aCognitive psychology
■653 ▼aDigital health technology
■653 ▼aDigital outcome measures
■653 ▼aMultiple sclerosis
■653 ▼aNeurological function
■653 ▼aSensor-based assessment
■653 ▼aSmartphone-based assessment
■7102 ▼aThe University of Wisconsin - Madison▼bClinical Investigation - MED.▼edegree granting institution.
■7201 ▼aJohnson, Sterling▼edegree supervisor.
■7730 ▼tDissertations Abstracts International▼g86-12B.
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17358381▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.


