Data Displays/Diagnostic Algorithm

RTM received an NIH Phase I grant to conduct human trials on the AVMD at Thomas Jefferson University.

The wearable and implantable sensors continuously monitor an ambulatory patient’s vital signs with data transmitted to the patient’s cell phone, table, watch, or PC for real-time analysis and visual display. Machine learning (AI) algorithms analyze the vital sign trend data in real-time to diagnose a significant change in a person’s health. Important vital sign data are recorded and stored in memory for easy download by a physician, nurse, or emergency personnel. Data can also be transmitted via cell phone to RTM’s central monitoring station for advanced analysis by a computer and clinician. Summary reports are automatically communicated to the patient and the patient’s physicians/hospitals. Research scientists, pharmaceutical companies, insurance companies, governments, and population health experts will mine the “Big Data” to improve human health.

Data from Implantable Sensors and Wearable Sensors are Displayed and Analyzed by a Cell Phone, Tablet, Smart Watch, or PC. Key Trend Data can be Transmitted to RTM’s Central Monitoring Station.