5 Results Sort by:
System for Assessing Health Severity and Predicting Readmissions
Application A smartphone-based system for monitoring patients to identify and prevent severe cardiac events. Key Benefits A remote monitoring system that uses smartphone data to accurately predict a user’s risk for a severe cardiac event (e.g., heart attack). Tracks the user's movement, location, and physical activity to calculate FDA-accepted...
Published: 1/10/2024       Contributor(s): Gari Clifford, Amit J. Shah, Ayse Cakmak, Erik Reinertsen
Wearable Device for the Early Detection and Monitoring of Atrial Fibrillation
Application A wearable device that enables long-term, continuous monitoring and screening for AFib by monitoring light signals on the skin. Key Benefits Inexpensive and compatible with existing wearable products by leading technology companies from Apple and others. Novel algorithms suppress irrelevant signals originating from a user's constant...
Published: 1/31/2024       Contributor(s): Shamim Nemati, Supreeth Shashikumar, Amit J. Shah, Qiao Li, Gari Clifford
Monitoring System for Tracking Behavior and Detecting Health Issues in the Elderly
Application Automated medical monitoring device for older adults that can alert caregivers, medical personnel, and family of adverse medical events. Key Benefits Low-cost and easy-to-use medical alert system for falls and adverse health events. The technology does not require the individual to carry a device. Provides voice-assisted interface,...
Published: 1/10/2024       Contributor(s): Gari Clifford, Jacob Zelko, Nicolas Shu, Pradyumna Suresha, Ayse Cakmak
Automated Sleep Analysis Using Cardiovascular Signals
Application Sleep stage classification algorithm and diagnostic platform. Key Benefits Real-time sleep classification using a single electrocardiogram sensor. Eliminates the need for multiple head, eye, skin, and heart sensors with current diagnostics. Preliminary results using human data demonstrate high accuracy in identifying different sleep...
Published: 10/5/2023       Contributor(s): Gari Clifford, Shamim Nemati, Qiao Li, Supreeth Shashikumar
System for Automated Analysis of Sleep and Wake States
Application Algorithm for automatic diagnostic or prognostic monitoring of sleep/wake stages from movement and physiological signals. Key Benefits Device captures and differentiates unbiased sleep or wake information from different physiological signals. 99.8% less data storage space needed over current technology. Capable of use in privacy of...
Published: 1/10/2024       Contributor(s): Gari Clifford, Ayse Cakmak, Adam Willats, Christopher Rozell