Evidence map›Paper›PMID 39911773›Full record

ArticleIEEE journal of translational engineering in health and medicine2025

Intelligent Neonatal Blood Perfusion Assessment System Based on Near-Infrared Spectroscopy.

Hsiu-Lin Chen, Bor-Shing Lin, Chieh-Miao Chang, Hao-Wei Chung, Shu-Ting Yang, Bor-Shyh Lin

Abstract read
In one paragraph

Article in IEEE journal of translational engineering in health and medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hsiu-Lin ChenDepartment of PediatricsKaohsiung Medical University Hospital Kaohsiung 807 Taiwan.ORCID 0000-0002-0565-4631
Bor-Shing LinDepartment of Computer Science and Information EngineeringNational Taipei University New Taipei City 237 Taiwan.ORCID 0000-0003-0498-3190
Chieh-Miao ChangInstitute of Imaging and Biomedical PhotonicsNational Yang Ming Chiao Tung University Tainan 300 Taiwan.
Hao-Wei ChungDepartment of PediatricsKaohsiung Medical University Hospital Kaohsiung 807 Taiwan.
Shu-Ting YangDepartment of PediatricsKaohsiung Medical University Hospital Kaohsiung 807 Taiwan.
Bor-Shyh LinInstitute of Imaging and Biomedical PhotonicsNational Yang Ming Chiao Tung University Tainan 300 Taiwan.ORCID 0000-0002-8653-2571

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-risk infants in the neonatal intensive care unit often encounter the problems with hemodynamic instability, and the poor blood circulation may cause shock or other sequelae. But the appearance of shock is not easy to be noticed in the initial stage, and most of the clinical judgments are subjectively dependent on the experienced physicians. Therefore, how to effectively evaluate the neonatal blood circulation state is important for the treatment in time. Although some instruments, such as laser Doppler flow meter, can estimate the information of blood flow, there is still lack of monitoring systems to evaluate the neonatal blood circulation directly. Based on the technique of near-infrared spectroscopy, an intelligent neonatal blood perfusion assessment system was proposed in this study, to monitor the changes of hemoglobin concentration and tissue oxygen saturation simultaneously and further estimate the neonatal blood perfusion. Several indexes were defined from the changes of hemoglobin parameters under applying and relaxing pressure to obtain the neonatal perfusion information. Moreover, the neural network-based classifier was also used to effectively classify the groups with different blood perfusion states. From the experimental results, the difference between the groups with different blood perfusion states could exactly be reflected on several defined indexes and could be effectively recognized by using the technique of neural network. Clinical and Translational Impact Statement-An intelligent neonatal blood perfusion assessment system was proposed to monitor the changes of hemoglobin concentration and tissue oxygen saturation simultaneously and further estimate the neonatal blood perfusion (Category: Preclinical Research).

Indexed as

Signal Processing, Computer-AssistedFemaleHemodynamicsHemoglobinsHumansInfant, NewbornMaleMonitoring, PhysiologicNeural Networks, ComputerOxygenOxygen SaturationSpectroscopy, Near-InfraredHemoglobinsOxygenblood perfusionnear-infrared spectroscopyNeonatal intensive care unitneural networkshock

Identifiers

PMID39911773
PMCPMC11793855

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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.