SleepTrack™
Utilising a novel sleep stage classification framework, which draws upon the concept of slow wave synchronisation (SWS) during sleep as put forth by researchers at Harvard Medical School, we have successfully devised an advanced algorithm. This algorithm effectively distinguishes the four major sleep phases: awake, light sleep, deep sleep, and Rapid Eye Movement (REM) sleep, which provides individuals with valuable and actionable insights for better sleep management.
The Importance
of Sleep
Why the need for BGEM™ ?
What are the benefits?
Diabetes is a global challenge as it is rising at an alarming rate around the world. It is one of the main causes of death in most developed countries, and is also the leading cause of blindness, stroke, amputation and kidney failure.
1 in 2
Adults
(>240 million people) in the world is undiagnosed
643
Mil
people will be diabetic by 2030
537
Mil
adults worldwide lived with diabetes in 2021
Diabetes incurred US$966 billion in global health expenditure in 2021
Regular monitoring of blood glucose plays an important part in managing diabetes risks. Health screenings or finger pricking with lancet are the common procedures used in determining blood glucose levels. Nonetheless, these are not regular and proactive routines that are built into a person’s daily life habits.
Actxa identifies the need for an innovative solution that offers frequent assessments and early detection to prevent the onset of Type 2 diabetes mellitus (T2DM) or to delay the progression of this killer illness.
Non-invasive
Scalability
Easy & convenient
Frequent Measurement
Cost-effective
Sensor Agnostic
How does it work?
What are the achievements?
Cutting-edge technology
Leveraging the latest technological advancement in signal processing, wearable technologies, and AI to assess the risk of impaired glucose regulation.
Photoplethysmography sensor
Using signals from consumer-grade wrist-worn photoplethysmography (PPG) sensors, the AI model computes the relevant digital biomarkers correlated with prediabetes or T2DM in order to monitor and evaluate diabetic risks.
Smart Watches & Fitness wearables
AI Model
Diabetic Risk Level
01
First company in the world to develop a comprehensive AI solution that leverages consumer-grade wearables to detect blood glucose dysregulation.
02
BGEM™ completed the clinical validation in 2022 and is in the process of submitting our paper for peer review.
03
Won the SBR Technology Excellence Awards 2022 under the AI - Healthcare Technology Category.
04
Partnership with Joint Chinese Limited, a leading manufacturer and solution provider for digital health wearables in China, to market and distribute wearables powered by BGEM™ worldwide.
References:
1. International Diabetes Federation. (2021). IDF Diabetes Atlas.
https://diabetesatlas.org/idfawp/resource-files/2021/07/IDF_Atlas_10th_Edition_2021.pdf
