INVIZA® Health Awarded $2.3 M SEMI NBMC – U.S. Air Force Contract to Revolutionize Military and Medical Monitoring with Cutting-Edge Machine Learning Capabilities
June 18 2024 - 2:00AM
Business Wire
INVIZA® Health, a leader in advanced MedTech solutions, proudly
announces the award of a $2.3 million contract by the SEMI Nano Bio
Materials Consortium (NBMC) and the U.S. Air Force Research
Laboratory (AFRL). The project consisting of $1 million AFRL
non-dilutional funds plus cost-share, including $550,000 investment
from partner companies and $750,000 angel investment, will propel
the development of INVIZA® Health's groundbreaking remote
patient-airmen monitoring (RPM-RAM) technologies, integrating
sophisticated machine learning (ML) algorithms to dramatically
enhance health monitoring capabilities for military and medical
applications. Adding edge-based ML will increase embedded sensor
(heart rate, heart rate variability “HRV”, respiratory rate, blood
oxygen saturation “SpO2”, body temperature, body movements
including fall detection, and GPS location) accuracy, enhance cyber
security, and reduce the smart insole’s internal wireless sensor
electronics power consumption.
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INVIZA® CARE M1.0 remote patient or
airmen monitoring (RPM or RAM) platform, including [1] InvizaSole
M1.0 (or simply "InvizaSole") – self-charging, medical-grade smart
insoles with vital sign and other sensors and machine learning (ML)
algorithms for accuracy; [2] InvizaCare –patient/airmen mobile app
with DTx; [3] InvizaCloud – a Secure IoT Operational Planning
Environment (SIoTOPE™) cloud platform designed per Department of
Defense (DoD) strategies with AI/ML and other analytics and Health
Insurance Portability and Accountability Act (HIPAA) compliant data
storage; and [4] InvizaPortal – a web dashboard for
hospital/HaH-patients or command/wings-groups-squadrons-airmen
oversight. (Photo: Business Wire)
To learn more about INVIZA, please visit:
inviza.com
Innovative Integration of Machine Learning
Central to this initiative is the enhancement of the INVIZA®
CARE M1.0 platform (smart insoles, user app, cloud analytics, web
dashboard) through the integration of ML algorithms directly within
the wearable’s internal electronics-sensor system. This advanced ML
capability enables real-time, on-device processing, crucial for the
immediate interpretation of health data and timely
decision-making.
Addressing Increased Power Demands
The incorporation of ML into the InvizaSole smart insoles
represents a significant technological advancement but also poses
challenges due to increased power consumption. To address this,
INVIZA is advancing its energy harvesting technology to ensure that
these smart insoles can sustain the heightened energy demands.
Advanced Energy Harvesting Solutions
The project includes transitioning from the SmartPower™ energy
harvesters (EH) used today to the more potent aluminum nitride
(AlN) based piezoelectric thin-film designs (all EH-designs used
are patent pending). These next-generation EH’ers can deliver a 20%
increase in energy generation per step at only 50% of the original
operational thickness needed for thin, comfortable insoles. Such
efficiency improvements are crucial for supporting the
energy-intensive ML computations without the need for frequent
recharging.
Collaboration with Subrecipient and Subcontractor
Partners
INVIZA® Health is proud to collaborate with esteemed partners,
Quanterion Solutions, GP Plasma, Light-It, and the University of
Utah to further enhance the capabilities of the INVIZA® CARE M1.0
platform:
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Media Thanos Karavergos +1 (781) 475-0959
akaravergos@inviza.com