# Design and Development of Raydiant Oximetry Sensing Systems

> **NIH NIH R43** · RAYDIANT OXIMETRY, INC. · 2020 · $203,353

## Abstract

Project Abstract:
Raydiant Oximetry, Inc. has developed and patented novel optical-sensing technology for noninvasive,
trans-abdominal fetal pulse oximetry (ROSS: Raydiant Oximetry Sensing System) with the thesis that,
with the additional knowledge of fetal oxygenation, clinicians can be more reliably informed about fetal
well-being. Owing to misinterpretation and inherent limitations of electronic fetal heart rate
monitoring (EFHRM), there is an intolerably high false positive rate for detecting fetal hypoxemia, which
results in a high rate of medically unnecessary cesarean deliveries. Furthermore, the false negative
rate of EFHRM results in newborns that suffer from devastating hypoxic injuries such as
hypoxic ischemic encephalopathy. Monitoring fetal oxygenation, in conjunction with EFHRM, will
provide a more precise modality of fetal surveillance during labor and delivery and reduce the
occurrence of newborns suffering the consequences of metabolic acidosis.
The proposed Phase 1 SBIR project builds directly on the initial feasibility studies. The goals of
the proposed research are to improve the accuracy and reliability of our ROSS technology with
the long-term commercial goal of system that can effectively measure fetal arterial hemoglobin
oxygen saturation accurately and non-invasively during labor and delivery.

## Key facts

- **NIH application ID:** 10008043
- **Project number:** 1R43EB030625-01
- **Recipient organization:** RAYDIANT OXIMETRY, INC.
- **Principal Investigator:** Neil Padharia Ray
- **Activity code:** R43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $203,353
- **Award type:** 1
- **Project period:** 2020-07-01 → 2021-12-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10008043

## Citation

> US National Institutes of Health, RePORTER application 10008043, Design and Development of Raydiant Oximetry Sensing Systems (1R43EB030625-01). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10008043. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*