Digital Health Technologies Lab
TEDx: What if we can live in a world where we can track our health like the way we do with the weather?
Research Talk: The Next Billion Medical Devices
Digital Health Technologies will help us bridge the capabilities of health monitoring and medical devices for understanding our health far beyond the clinic
The DigiHealth Lab is founded by Professor Edward J. Wang as a joint research laboratory of UCSD Design Lab and the Electrical & Computer Engineering department of Jacobs School of Engineering. Our research focuses on developing new sensing techniques for monitoring a person's health more continuously, conveniently, and cheaply with a goal of ultimately bringing clinical sensing out of the clinic. I am actively creating new solutions in health monitoring with my expertise in mobile and embedded system prototyping, signal processing, machine learning, and a strong command of medical knowledge. We are transforming smartphones into medical devices without any hardware add-ons to screen for anemia, cognitive disfunctions, blood pressure, and even assisting in breast feeding; developing novel wearable devices that continuously track health and user context; and exploring new ways to support health monitoring devices without batteries. The next generation of medical sensing needs to leave the confines of labs and clinics to be truly usable by everyone. This has to start at even the earliest prototypes, something we strive for in all of our work. Towards this goal, we have tested technologies in patient rooms, performed in-the-wild studies where users take our prototypes home, and even partnered with various NGOs to perform true user testing in places like the Peruvian jungle.
Medical Domains: Geriatrics, Psychiatry, Pediatrics, Hematology, Cardiology, Neonatal Care, and more! Please reach out if you are a clinician looking to collaborate with technologists who are truly interested in developing usable health tech that pushes the boundary of healthcare.
Technical Domains: Machine Learning, Neural Networks, Computer Vision & Pattern Recognition, Edge Computation, Embedded Systems, Non-invasive Sensor Design
June 2022 - Colin Barry receives Norman Fund to attend 2022 HCIC Meeting on The Future of Health and Wellness Technologies
Apr 2022 - Barry et al. awarded CHI Best paper Honorable Mention for work on Smartphone Pupillometry for cognitive impairment monitoring
Apr 2022 - Dr. Wang receives the Google Research Scholar Award for early career faculty
Jun 25 2021 - Colin Barry presents at Mobisys workshop on digital biomarkers (DigiBiom) on position paper on Tenets Towards Smartphone-based Medical Tricorder
Sept 2021 - Colin Barry and Yinan (Tom) Xuan joins the DigiHealth Lab. Welcome Colin and Tom!
Jan 2020 - Jessica de Souza joins the DigiHealth Lab. Welcome Jessica!
Sept 2020 - Varun Viswanath joins the DigiHealth Lab. Welcome Varun!