Wearable Hydration Monitoring and Management System

Invention Description
Hydration is a critical physiological state that affects overall health, performance, and safety. Traditional methods for assessing hydration are either too generalized or not tailored to the needs of those with specific medical vulnerabilities. Further, they are not able to monitor or manage hydration in real time. This results in poor health outcomes as well as frequent hospital readmissions and possible life-threatening complications.
 
Researchers at Arizona State University have developed a real-time hydration monitoring system that leverages advanced machine learning and data integration techniques with physiological, environmental and behavioral data to predict and manage hydration states in real-time. It provides personalized hydration recommendations aimed at improving health outcomes, especially for individuals with medical conditions such as kidney disease and heart issues. This technology dynamically adapts to varying conditions to deliver reliable hydration metrics non-invasively.
 
This novel, wearable device combines physiological, environmental, and behavioral data for continuous monitoring and personalized management of hydration levels.
 
Potential Applications
  • Wearable health and wellness devices
  • Fitness and sports performance monitoring equipment
  • Clinical hydration assessment tools
  • Remote patient monitoring systems
  • Military and occupational health hydration management
Benefits and Advantages
  • Non-invasive continuous hydration monitoring with no need for extra wearable devices
  • Dynamic adjustments for environmental conditions enhance accuracy
  • Compact, wearable design suitable for daily use
  • Uses models that are lightweight and computationally simple for implementation in mobile/portable/embedded devices and wearable sensors
  • AI-driven proactive hydration prediction and management
  • Comprehensive data integration from multiple sources
  • Personalized and real-time hydration advice
  • Highly adaptable for both healthy users and high-risk patients
  • Seamless integration into existing health-monitoring systems
For more information about the inventor(s) and their research, please see
Patent Information: