I-Corps: Translation potential of non-contact monitoring of human vital signs
- Institution
- Texas Tech University, TX
- Principal investigator
- Changzhi Li
- Funding
- $50K
- Duration
- 2024–2026
Moonbase score
Still being scored
Abstract
The broader impact of this I-Corps project is the development of a non-contact health monitoring method with broad applications. The solution has the potential to seamlessly monitor vital signs without requiring users to wear any devices. Unlike wired systems, this technology offers convenience, reliability, and long-term monitoring, benefiting both healthcare providers and individuals seeking advanced care. In addition to targeting diseases like sleep apnea and sudden infant death syndrome, the technology also promises innovation in motion-adaptive cancer radiotherapy. The technology can potentially revolutionize patient care, reducing costs, and improving outcomes, especially for vulnerable populations. This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. This solution is based on the development of an advanced beamforming that supports concurrent multiple target sensing and tracking of human subjects. This technology includes the use of advanced signal processing algorithms that enable high sensitivity and a wide dynamic range for the detection of micro-motions. The technology considers a coherent detection architecture that supports multiple operation modes for high dynamic range. Finally, the solution includes an antenna-in-package for the integration of the system with compact size, low cost, and high performance. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
LOADING MOONBASE SCORE
Questions for Texas Tech University
Answered by the team behind this research.
No questions yet. Sign in to ask the first one
Related grants
Same institution, same topic, scored first.
- NIH · Texas Tech University66
Additive Manufacturing Wearable Magnetic Sensors: Revolutionizing Cardiac Health Monitoring with Machine Learning for Arrhythmia Classification
Kai Wu · $120K · 2025–2029
- NIH · Texas Tech University64
The Functional Interplay of Lipid Membrane Components: Activation, Inhibition, and Raft Formation.
Benjamin James Wylie · $428K · 2017–2028
- NIH · Texas Tech University55
Resolving the interaction network of cell surface receptors
Adam W. Smith · $366K · 2024–2029