Technical Description
The technology introduces a non-invasive glucose monitoring system using reflected NIR radiation (800-1100 nm) converted to voltage intensity signals for continuous, occlusion-based measurement with machine-learning calibrated presets.
Problems Addressed
- Lacks Continuous Monitoring
- Inefficient Invasive Pricking
- Painful Blood Sampling
- Inaccurate Prior Methods
- Unreliable Clinical Results
- High User Discomfort
Tech Features
- NIR Reflected Sensor
- Voltage Intensity Analysis
- Occlusion-Based Measurement
- ML Preset Calibration
- Non-Invasive Detection
- Cost-Effective Design
Target Audience
- Medical Device Industry
- Healthcare Providers & Hospitals
- Consumer Health Electronics
- Pharmaceutical & Diabetes-Care Companies
- Home Healthcare & Wellness Platforms
Tech ID: P24-1987 TRL 5 Patent Status: Granted Available For Exclusive and Non-exclusive License
