Health. Care. Anywhere. Today

Area of Science:

• Biomedical Engineering
• Health Informatics
• Wearable Technology

Background:

• Consumer access to clinical-grade medical equipment is limited.
• Measuring physiological states at high resolution is challenging.
• Current healthcare monitoring lacks real-time, continuous data.

Purpose of the Study:

• To introduce a wearable physiological monitor for consumer use.
• To demonstrate the system's ability to collect extensive physiological data.
• To explore applications for real-time health insights.

Main Methods:

• Development of an award-winning multi-channel wearable physiological monitor.
• Collection of over 90 million minutes of data from diverse subjects in natural settings.
• Application of data modeling and machine learning for real-time analysis.

Main Results:

• The system enables measurement of physiological states with high temporal resolution.
• Data collected provides insights into caloric intake/expenditure, sleep, activity, and mental state.
• Data modeling yields meaningful, actionable information for users and collaborators.

Conclusions:

• Wearable technology, machine learning, and wireless advancements are transforming healthcare.
• The SenseWear system facilitates a future of personal, ubiquitous, and collaborative health management.
• Continuous, high-resolution physiological monitoring empowers proactive health decisions.