3D-printed microfluidic devices

Human Health and Performance Systems

The Human Health and Performance Systems Group develops 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.

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

Events

Jun
2
MIT Lincoln Laboratory, Lexington, MA

Featured Publications

Open-source, community-driven microfluidics with Metafluidics

Jun 7
Nat. Biotechnol., Vol. 35, No. 6, 7 June 2017, pp. 523-9.

Detecting depression using vocal, facial and semantic communication cues

Oct 15
ACM Multimedia Conf. AVEC Workshop, 15-19 October 2016.