Multi-channel wavelength strategy
Selected channels target SpO₂ baseline, tissue oxygenation, perfusion context, water/contact effects, and signal artifacts.
RESEARCH-STAGE NEONATAL OPTICAL MONITORING
Earlier signal confidence for preterm neonatal transition.
NeoPerfuse is a research-stage neonatal optical monitoring platform designed to help clinicians understand whether an oxygenation or perfusion signal can be trusted and why it may be unreliable.The platform combines wavelength-engineered multi-channel optical sensing with an explainable AI-based Signal Quality Index to identify signal problems caused by low perfusion, wet skin, vernix, poor contact, motion, displacement, or insufficient pulsatility.
Partner ecosystem
Built with clinical and translational partners in view.
NeoPerfuse is positioned for collaboration across university medicine, engineering, health innovation, and science-translation networks.
Preterm transition monitoring
Focused on the first critical minutes after birth.
Multispectral optical sensing
Raw optical channels for difficult preterm conditions.
AI-based Signal Quality Index
Confidence logic for signal interpretability.
The first minutes after birth are clinically critical.
In preterm and very preterm newborns, optical monitoring signals may be delayed or unstable because of low perfusion, movement, wet skin, fragile skin, very small extremities, and difficult sensor placement. NeoPerfuse focuses on this narrow but clinically important gap: making optical oxygenation and perfusion information more trustworthy during early neonatal transition.
Explainable signal-quality AI
The AI-SQI evaluates each channel and time segment, rejects unreliable signals, and explains likely failure modes.
Validation-focused development
The project will test time to first trustworthy signal, usable signal fraction, artifact reduction, and failure-mode classification.
Solution / Technology
NeoPerfuse combines wavelength-engineered multi-channel optical sensing with an explainable AI-based Signal Quality Index to make neonatal oxygenation and perfusion signals more trustworthy.
Step 1
Skin-friendly patch
A neonatal-compatible patch designed for fragile skin, small extremities, and difficult placement.
Step 2
Multi-channel optical signals
Selected channels target SpO₂ baseline, tissue oxygenation, perfusion context, and water/contact effects.
Step 3
Explainable AI-SQI
AI evaluates each channel and time segment to reject artifacts and classify likely failure modes.
Step 4
Signal confidence + reason
The output shows whether the optical signal is trustworthy and why it may be unreliable.
Find the right starting point
NeoPerfuse has different relevance for clinical, technical, and translational partners. These paths keep the first decision simple.
Clinical perspective
Start with the signal-trust problem during early preterm transition and fragile monitoring windows.
Review clinical needTechnical perspective
Start with multi-channel optical sensing, AI-SQI logic, and confidence-aware output.
Explore technologyTranslational / partnership perspective
Start with collaboration paths, validation priorities, IP context, and research-to-clinic planning.
Discuss partnershipNot a replacement. A confidence layer.
NeoPerfuse is designed as an adjunct to established clinical monitoring, not as a replacement for ECG or standard pulse oximetry. The objective is to help clinicians understand whether an optical oxygenation/perfusion signal can be trusted.
Current monitoring
ECG, preductal pulse oximetry, standard patient monitors
NeoPerfuse adds
Signal confidence, failure-mode transparency, multispectral signal-quality assessment
Built for translational collaboration
The project is structured around clinical requirements, optical feasibility, explainable AI, usability, regulatory planning, and evidence generation.
Adjunct by design
Focused on confidence around optical signals, not replacement monitoring.
Workflow-aware
Built around delivery-room and NICU constraints.
Evidence-oriented
Roadmap links technical validation, usability, and feasibility planning.
Partner-ready
Structured for clinical, AI, optics, OEM, regulatory, and funding dialogue.
Collaboration
Building trustworthy signal intelligence for neonatal care.
We are open to clinical, technical, translational, and industry collaboration.