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Non-invasive Blood Glucose Evaluation And Monitoring Technology
Created
Reference Number
TO175467
Summary

Maintaining stable blood glucose levels is central to achieving a healthier lifestyle and preventing metabolic disorders such as diabetes. Even for non-diabetic individuals, daily fluctuations in glucose can affect energy levels, focus, sleep quality, and long-term metabolic health. As awareness grows around personalized health tracking, consumers are increasingly seeking simple, non-invasive ways to understand how diet, exercise, and stress influence their glucose patterns.

BGEM meets this need through a smartphone app that estimates blood glucose levels non-invasively using data from smartwatches, fitness trackers, and smart rings. By leveraging the photoplethysmography (PPG) sensors that users already wear, the app provides on-demand insights into glucose fluctuations without the need for finger pricks or patches.

Powered by advanced algorithms in the cloud, the system translates wearable sensor data into personalized glucose trend information, allowing users to visualize how daily habits influence their metabolic responses. This empowers individuals to make informed lifestyle adjustments, supporting better nutrition choices, improved fitness outcomes, and early awareness of potential glucose irregularities.

Unlike conventional continuous glucose monitors that rely on invasive sensors, this technology is completely non-invasive, affordable, and accessible, making proactive glucose monitoring possible for a broader health-conscious population. This solution is designed for consumers who want to take greater control of their wellness journey through meaningful, data-driven insights.

The technology owner is seeking collaborations with hardware manufacturers for integration, wearable brands for product development, distributors and IHLs for expanding research. 

Workflow Status
Published
Feature Specification

The BGEM technology is an end-to-end managed AI platform that leverages Photoplethysmography (PPG) enabled wearable sensors to monitor various tissue biophotonic and hemodynamic features associated with blood glucose fluctuation. The solution comprises the following features:

  • Optimised and validated AI algorithm
  • Mobile Demo App
    • Including UI/UX design guideline
    • User-friendly visualisations
  • SaaS
    • Scalability
    • Security
    • API Integration
CMS Author
Eunice Soh
Keywords
["Non-invasive Glucose Estimation","Photoplethysmography (PPG)","Smart Wearables","Software as a Medical Device (SaMD)","Software as a Service (SaaS)","Healthier Lifestyle"]
Page Sub Title
Empower your wellness journey with non-invasive glucose insights from the wearables you already love.
Owner Country Name
Data source
prod
Area Of interest