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Towards Transabdominal Fetal Pulse Oximetry: Computational Modeling and Algorithm Development
Towards Transabdominal Fetal Pulse Oximetry: Computational Modeling and Algorithm Development
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260311091500.5
- ISBN
- 9798314865941
- DDC
- 616
- 저자명
- Wu, Jingyi
- 서명/저자
- Towards Transabdominal Fetal Pulse Oximetry: Computational Modeling and Algorithm Development / Jingyi Wu
- 발행사항
- [Sl] : Carnegie Mellon University, 2025
- 형태사항
- 1 electronic resource (149 pages)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-11, Section: B.
- 주기사항
- Advisors: Kainerstorfer, Jana M. Committee members: Grover, Pulkit; Chalacheva, Patjanaporn; Andersson-Engels, Stefan.
- 학위논문주기
- - Ph.D. : Carnegie Mellon University, 2025.
- 초록/해제
- 요약Non-invasive fetal oxygen monitoring is critical for assessing fetal well-being and preventing adverse outcomes caused by fetal hypoxia. Current clinical standards, such as cardiotocography (CTG), primarily rely on measurements of fetal heart rate and maternal contractions, both of which are indirect indicators of actual fetal oxygenation status. As a result, CTG often produces false-positive results, leading to unnecessary medical interventions. Transabdominal fetal pulse oximetry, in contrast, offers the potential for direct, continuous, and non-invasive estimation of fetal oxygen saturation (SpO2). However, significant physiological and technical challenges-including strong maternal tissue interference, complex multi-layer photon propagation, and motion artifacts-have limited its clinical adoption.This dissertation addresses these challenges and advances transabdominal fetal pulse oximetry toward clinical feasibility through computational modeling and algorithmic innovations. First, a novel self-calibrated pulse oximetry algorithm was developed to overcome a fundamental limitation: conventional pulse oximeters require empirical calibration on healthy subjects, resulting in inaccuracies when applied to low-oxygen saturation conditions like those in fetal circulation. The proposed algorithm significantly improves accuracy in the low SpO2 range relevant for fetal applications. Next, the self-calibrated algorithm was extended by incorporating multilayer photon transport modeling, which allows accurate fetal SpO2 estimation despite significant maternal tissue interference. To enhance real-world applicability, extensive sensitivity analyses based on MRI-derived anatomical models were conducted to optimize device configuration and evaluate the effects of fetal positioning. Finally, a deep learning framework utilizing long short-term memory networks was developed to robustly remove motion artifacts from pulsatile optical signals, further improving measurement reliability in clinical environments.Together, these advancements provide a solid foundation for accurate, continuous, and non-invasive fetal SpO2 monitoring, creating pathways toward safer and more effective fetal health monitoring in clinical practice. Additionally, these methodologies offer valuable tools applicable to a wide range of other optical physiological monitoring applications.
- 언어주기
- English
- 일반주제명
- Biomedical engineering
- 일반주제명
- Physiology
- 일반주제명
- Bioinformatics
- 일반주제명
- Optics
- 키워드
- Pulse oximetry
- 기타저자
- Carnegie Mellon University Biomedical Engineering
- 기본자료저록
- Dissertations Abstracts International. 86-11B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798314865941
■040 ▼aMiAaPQD▼beng▼cMiAaPQD▼erda
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■1001 ▼aWu, Jingyi▼eauthor.▼0(orcid)0000-0003-3666-5082
■24510▼aTowards Transabdominal Fetal Pulse Oximetry: Computational Modeling and Algorithm Development ▼cJingyi Wu
■260 ▼a[Sl]▼bCarnegie Mellon University▼c2025
■264 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a1 electronic resource (149 pages)
■336 ▼atext▼btxt▼2rdacontent
■337 ▼acomputer▼bc▼2rdamedia
■338 ▼aonline resource▼bcr▼2rdacarrier
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-11, Section: B.
■500 ▼aAdvisors: Kainerstorfer, Jana M. Committee members: Grover, Pulkit; Chalacheva, Patjanaporn; Andersson-Engels, Stefan.
■5021 ▼bPh.D.▼cCarnegie Mellon University▼d2025.
■520 ▼aNon-invasive fetal oxygen monitoring is critical for assessing fetal well-being and preventing adverse outcomes caused by fetal hypoxia. Current clinical standards, such as cardiotocography (CTG), primarily rely on measurements of fetal heart rate and maternal contractions, both of which are indirect indicators of actual fetal oxygenation status. As a result, CTG often produces false-positive results, leading to unnecessary medical interventions. Transabdominal fetal pulse oximetry, in contrast, offers the potential for direct, continuous, and non-invasive estimation of fetal oxygen saturation (SpO2). However, significant physiological and technical challenges-including strong maternal tissue interference, complex multi-layer photon propagation, and motion artifacts-have limited its clinical adoption.This dissertation addresses these challenges and advances transabdominal fetal pulse oximetry toward clinical feasibility through computational modeling and algorithmic innovations. First, a novel self-calibrated pulse oximetry algorithm was developed to overcome a fundamental limitation: conventional pulse oximeters require empirical calibration on healthy subjects, resulting in inaccuracies when applied to low-oxygen saturation conditions like those in fetal circulation. The proposed algorithm significantly improves accuracy in the low SpO2 range relevant for fetal applications. Next, the self-calibrated algorithm was extended by incorporating multilayer photon transport modeling, which allows accurate fetal SpO2 estimation despite significant maternal tissue interference. To enhance real-world applicability, extensive sensitivity analyses based on MRI-derived anatomical models were conducted to optimize device configuration and evaluate the effects of fetal positioning. Finally, a deep learning framework utilizing long short-term memory networks was developed to robustly remove motion artifacts from pulsatile optical signals, further improving measurement reliability in clinical environments.Together, these advancements provide a solid foundation for accurate, continuous, and non-invasive fetal SpO2 monitoring, creating pathways toward safer and more effective fetal health monitoring in clinical practice. Additionally, these methodologies offer valuable tools applicable to a wide range of other optical physiological monitoring applications.
■546 ▼aEnglish
■590 ▼aSchool code: 0041
■650 4▼aBiomedical engineering
■650 4▼aPhysiology
■650 4▼aBioinformatics
■650 4▼aOptics
■653 ▼aFetal oxygen monitoring
■653 ▼aMulti-layer tissue optics
■653 ▼aNear-infrared spectroscopy
■653 ▼aPhoton transport modeling
■653 ▼aPhysiological signal processing
■653 ▼aPulse oximetry
■7102 ▼aCarnegie Mellon University▼bBiomedical Engineering.▼edegree granting institution.
■7201 ▼aKainerstorfer, Jana M.▼edegree supervisor.
■7730 ▼tDissertations Abstracts International▼g86-11B.
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17357166▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
