# Infrared Eyes(iREyes)

> **NIH NIH R44** · EDEN MEDICAL, INC. · 2020 · $267,476

## Abstract

Infrared Eyes Abstract
Eden Medical, Inc. is pleased to resubmit this Phase 2 SBIR proposal to develop the “Infrared Eyes” (iREyes)
imager system, an affordable and powerful mobile health (mHealth) tool for healthcare. The hand-held
iREyes system will acquire both thermal and visible spectrum imagery to quantify healing via thermal
indexing methodology. The iREyes will offer a user-friendly product with automated categorization.
Diabetic foot wounds are common, complex and costly. Foot areas that are likely to ulcerate are associated
with increased local skin temperature due to inflammation and enzymatic autolysis of tissue. Inflammation
is characterized by the cardinal signs including redness, swelling, and heat. In addition to identifying
inflammation associated with healing, the iREyes will also identify hot spots associated with repetitive
stress to reduce ulceration and re-ulceration risk for people in diabetic foot remission. The iREyes will
directly quantify inflammation pathophysiology implementing a powerful revised two-part strategy:
wound healing via regional foot index analysis and ulcer reoccurrence risk through temperature
asymmetry threshold analysis. The combined thermal indexing for healing existing wounds and asymmetry
predictive analysis represents a significant breakthrough over current practice.

## Key facts

- **NIH application ID:** 9996341
- **Project number:** 5R44DK102244-04
- **Recipient organization:** EDEN MEDICAL, INC.
- **Principal Investigator:** David George Armstrong
- **Activity code:** R44 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $267,476
- **Award type:** 5
- **Project period:** 2014-09-30 → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9996341

## Citation

> US National Institutes of Health, RePORTER application 9996341, Infrared Eyes(iREyes) (5R44DK102244-04). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9996341. Licensed CC0.

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