A Low Power Integrated Sensor Node Design for Real-Time Psychophysiological MonitoringTechnology #ua17-015
Questions about this technology? Ask a Technology Manager
- Kemeng Chen Graduate student, Electrical & Computer Engineering
- Richard Lane Professor, Psychiatry
- Janet Roveda Associate Professor, Electrical & Computer Engineering
- Managed By
- Lewis Humphreys Licensing Manager (520) 626-2574
Title: A Low Power Integrated Sensor Node Design for Real-Time Psychophysiological Monitoring
Invention: This technology is a design for enhanced noise reduction algorithms that allow for the acquisition of electrocardiogram (ECG), respiration, and movement data continuously for at least 24 hours. Additionally, the firmware on the microcontroller is integrated with the Vagus Relax smartphone app.
Background: Existing physiological monitoring devices regularly lose data and rarely collect consistent streams of data over longer time periods due to inefficient noise reduction algorithms. In order for medical technology to meet the needs of the growing percentage of the population that is elderly, it is likely that physiological monitoring devices will be integrated with smartphones in the future. This invention’s algorithms allow for the collection of uninterrupted ECG data for over 24 hours.
- Consumers in need of monitoring and/or decreasing their stress levels
- Collects a continuous stream of ECG data
- Integrated with the Vagus Relax smartphone app
- Does not require a third party to provide sensors