An additional sensor that is embedded on the upper side of the wearable can measure the level of blood glucose and show a corresponding reading on the integrated screen. Glutrac has been developed by Add Care, a company dedicated to the research and development of non-invasive monitoring technologies.
INTRODUCING GLUTRAC: WORLD’S FIRST NON-INVASIVE CGM WEARABLE FOR DIABETES MANAGEMENT.
Glutrac is the world’s first non-invasive continuous glucose monitoring (CGM) wearable device for diabetes management. This innovative health monitor is designed to seamlessly integrate into the daily lives of users, providing continuous and accurate glucose monitoring with minimal user intervention. Prioritizing convenience, ease of use, and unobtrusiveness, Glutrac is suitable for various lifestyles.
CONTINUOUS HEALTH INSIGHTS: GLUTRAC’S MULTIFUNCTIONAL SENSOR TECHNOLOGY.
The monitor is worn like a watch, employing a non-invasive measurement technique to eliminate the need for frequent finger pricks. The device features automatic calibration to ensure ongoing accuracy without user intervention. Equipped with a host of sensors on the back of the main housing, Glutrac continuously monitors several bodily conditions, including heart rate, blood oxygen levels, blood pressure, and respiration rate. An additional sensor embedded on the upper side of the wearable measures blood glucose levels, displaying corresponding readings on the integrated screen.
BUILT TO LAST: GLUTRAC’S DURABLE, MEDICAL-GRADE MATERIALS.
The monitor is worn like a watch. It is equipped with a host of sensors on the back of the main housing that continuously fetch a reading of several bodily conditions, such as heart rate, blood oxygen levels, blood pressure, respiration rate, and more.
EMPOWERING USERS AND HEALTHCARE PROVIDERS WITH GLUTRAC’S COMPREHENSIVE DATA.
The display UI offers an intuitive interface with easy-to-read charts, historical data, and actionable health tips. Data is securely stored in the cloud, allowing users, medical professionals, and family members to access and analyse historical data for comprehensive diabetes management.
