3D-printed microfluidic devices

Human Health and Performance Systems

We develop human-centered technologies that measure, model, and modify both the physical and cognitive components of human health and performance. We focus our efforts on objective solutions in the technical areas of health and resilience monitoring, trauma care, and performance enhancement. Our core competencies include system-level modeling and gap analysis, advanced sensing, machine learning and artificial intelligence algorithms, biologically based modeling, technology prototyping, system integration, and human subject testing in laboratory and field environments. Through our technology development, we strive to increase the physical and cognitive performance and psychological resilience of military and civilian end users in their unique operational environments. This highly interdisciplinary group draws on skills from biology, physiology, cognitive science, neuroscience, psychology, biosignal processing, engineering, machine learning and artificial intelligence, computer science, physics, and medical research areas. Primary government sponsors and partners are in the Departments of Defense, Veterans Affairs, Homeland Security, NASA, the National Institutes of Health, and the National Science Foundation.

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Featured Projects

The Laboratory's advanced work in miniaturized electronics enabled the development of EnteroPhone™.
A wireless, ingestible device monitors heart and breathing rates by listening to the body's sounds and senses core temperature, all from within the gastrointestinal tract.
The commercial chest strap is equipped with the Laboratory-prototyped sensor hub. The sensor hub takes physiological measurements, which are used to estimate a strain index. This index indicates if the wearer is at risk for a heat-related illness.
New sensors that gather data on a soldier's physiological state can help prevent heat-related injuries.

Advancing Our Research

Featured Publications

Large-scale Bayesian kinship analysis

Sep 25
IEEE High Performance Extreme Computing Conf., HPEC, 25-27 September 2018.

Detecting pathogen exposure during the non-symptomatic incubation period using physiological data

Nov 13
bioRxiv preprint doi: https://doi.org/10.1101/218818, 13 November 2017.

A cloud-based brain connectivity analysis tool

Sep 12
HPEC 2017: IEEE Conf. on High Performance Extreme Computing, 12-14 September 2017.


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