Evidence map›Paper›PMID 40861499›Full record

ArticleJournal of biomedical optics2025

Noninvasive monitoring of fetal tissue oxygenation level using time-domain NIRS.

Zijing Guo, Yongyi Zhao, Yiyi Yang, Ankit Raghuram, Martin Debreczeny, Neil Ray, Jacob T Robinson, Ashok Veeraraghavan

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zijing GuoRice University, Department of Electrical and Computer Engineering, Houston, Texas, United States.ORCID https://orcid.org/0009-0005-3816-4806
Yongyi ZhaoRice University, Department of Electrical and Computer Engineering, Houston, Texas, United States.ORCID https://orcid.org/0000-0002-4242-6910
Yiyi YangRice University, Department of Mechanical Engineering, Houston, Texas, United States.ORCID https://orcid.org/0009-0001-4884-6393
Ankit RaghuramRice University, Department of Electrical and Computer Engineering, Houston, Texas, United States.
Martin DebreczenyRaydiant Oximetry Inc., San Ramon, California, United States.
Neil RayRaydiant Oximetry Inc., San Ramon, California, United States.
Jacob T RobinsonRice University, Department of Electrical and Computer Engineering, Houston, Texas, United States.ORCID https://orcid.org/0000-0002-3509-3054
Ashok VeeraraghavanRice University, Department of Electrical and Computer Engineering, Houston, Texas, United States.ORCID https://orcid.org/0000-0001-5043-7460

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Fetal oxygenation level is a critical indicator of fetal health throughout pregnancy and labor. Existing clinical devices predominantly employ invasive techniques, posing risks to both the fetus and the mother. Aim: To address this concern, we present a noninvasive method for precise fetal oxygenation level monitoring using time-domain near-infrared spectroscopy (TD-NIRS). Approach: Our method leverages the advantages of time-domain information for accurate separation of optical properties from two distinct layers, thereby enabling noninvasive detection of deep tissue oxygenation levels. Results: We validate the proposed method via Monte Carlo simulations and develop a fiber-based TD-NIRS prototype system. In a two-layer tissue phantom experiment, the system accurately estimates the deep-layer absorption coefficient. We further demonstrate the ability of our prototype system to detect changes in the tissue oxygenation index (TOI) through Conclusions: The results suggest a significant potential for the use of TD-NIRS to noninvasively and safely monitor the fetal oxygenation level.

Indexed as

Fetal MonitoringFetusOximetryOxygenAnimalsEquipment DesignFemaleForearmHumansMonte Carlo MethodPhantoms, ImagingPregnancySheepSignal Processing, Computer-AssistedSpectroscopy, Near-InfraredOxygendiffusion equationnear-infrared spectroscopytime-of-flighttissue oxygenation index

Identifiers

PMID40861499
PMCPMC12374770

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.