The Connected Health program at UC San Diego seeks to enable radical changes in the delivery of health care, from today’s reactive care models to a next-generation of proactive, continuous and personalized care using innovations in wireless Internet of Medical Things (IoMT) including novel medical devices and applications, together with innovations in AR/VR, machine vision and artificial intelligence, edge/cloud computing and wireless IoMT communications.

Circuits Picture

Prof. Hall is developing ultra-low power circuits and sensors for future IoT biosensors. These BioMote sensors are the size of a single grain of rice and will be subcutaneously injected through a 16-gauge needle into interstitial fluid (ISF), the quasi-stationary extracellular fluid surrounding cells composed of nutrients, metabolites, and waste. ISF is highly correlated with blood enabling continuous, long-term biomarker monitoring. The batteryless device will be wirelessly powered through an inductive link that will also be used for bi-directional communication.


PT System Architecture

Physical therapy is crucial for rehabilitation following many different types of surgery and injury, but it is often severely hampered by lack of access to therapists and lack of adherence to home therapy regimens. Similarly, wellness training and ergonomics training can be crucial components of preventative medicine, but are often not availed of due to a lack of access to proper expertise and guidance. This project aims to develop a computer vision based mobile system that can help people with accurate physical therapy, fitness training and ergonomics, while letting the medical caregivers track progress and compliance of patients.


Connected Health phone watch photo

Connected Health

Predictive and Personalized Care Using IoMTs and Hybrid Analytics

Principal Investigator
Sujit Dey
Co-Principal Investigators
Steven Li, MD, Melissa Wong, MD
Research Students
Po Han Chiang

This project is part of the CWC Connected Health Program in partnership with Kaiser Permanente, UC San Diego Health, Samsung Digital Health and Teradata. The project goal is to develop a scalable Hybrid Edge-Cloud architecture and analytics algorithms to enable highly personalized and contextual virtual care recommendations.  


Mapping mental health

This project is an interdisciplinary research effort led by Dr. Mishra, director of the Neural Engineering & Translation Labs (NEATLabs), UC San Diego, that aims to understand the continuum of mood and attention related fluctuations in humans. The project uses scalable research methods to monitor neuro-cognition and lifestyle (i.e. sleep, physical activity and stress. Using predictive models, the project aims to develop a quantitative, mechanistic and personalized understanding of mood and attention related disorders, and further develop personalized interventions to optimize mental health in humans.