$GTCH news alert: Aug. 24, 2021 (GLOBE NEWSWIRE) -
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Posted On: 08/24/2021 9:50:25 AM
$GTCH news alert: Aug. 24, 2021 (GLOBE NEWSWIRE) -- GBT Technologies Inc. (OTC PINK: GTCH) ("GBT”, or the “Company”) is aiming to implement a noninvasive blood glucose monitoring feature for its qTerm device. The qTerm device currently measures body temperature, blood oxygen and heart rate vitals, and plans to include blood pressure in a future release, if successfully developed.
The company plans to use a non-invasive, photoplethysmographic (PPG) optical sensors. This optical sensor technology can track small variations in blood biological substances through the skin and with the use of AI algorithms determine blood sugar levels. GBT is now running feasibility simulations to assess accuracy and options. GBT is already using optical sensors in its qTerm device to measure heart rate, and blood oxygen levels and plans to use this light sensing technology to monitor glucose levels.
A major key component for accurately measuring blood sugar levels is a machine learning algorithm that will continuously be monitoring blood changes and run analytics to produce these results. The results will be shown on a mobile and synchronized web application. The system will record the data and keep history as part of its health monitoring feature and in case of a concern the system will alert the user, and the data could be sent to a clinic or a physician through the internet for further evaluation. GBT believes that such a feature could be a significant addition to qTerm device making it a comprehensive, personal health watching system. qTerm can be used independently or as a telemedicine device enabling high quality medicine around the world.
The company plans to use a non-invasive, photoplethysmographic (PPG) optical sensors. This optical sensor technology can track small variations in blood biological substances through the skin and with the use of AI algorithms determine blood sugar levels. GBT is now running feasibility simulations to assess accuracy and options. GBT is already using optical sensors in its qTerm device to measure heart rate, and blood oxygen levels and plans to use this light sensing technology to monitor glucose levels.
A major key component for accurately measuring blood sugar levels is a machine learning algorithm that will continuously be monitoring blood changes and run analytics to produce these results. The results will be shown on a mobile and synchronized web application. The system will record the data and keep history as part of its health monitoring feature and in case of a concern the system will alert the user, and the data could be sent to a clinic or a physician through the internet for further evaluation. GBT believes that such a feature could be a significant addition to qTerm device making it a comprehensive, personal health watching system. qTerm can be used independently or as a telemedicine device enabling high quality medicine around the world.
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