PROJECT OVERVIEW

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.

FULL OVERVIEW

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.

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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.

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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, Jared Johann Leitner

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.  

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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.

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covid web image

Connected Health

eCOVID: Enhanced Monitoring and Guidance for Ambulatory Patients with COVID-19 using Wearables and Machine Learning

Principal Investigator
Sujit Dey
Co-Principal Investigators
Steven Li, MD, Marlene Millen, MD, Michele Ritter, MD, Melissa A. Wong, MD
Research Students
Po Han Chiang, Jared Johann Leitner

The objective of this project is to enable effective remote monitoring, digital triage and personalized guidance for ambulatory patients with COVID-19 using wearables and machine learning. The project has two components:

  1. Provide immediate relief and improve efficiency of overburdened healthcare systems by augmenting and eventually replacing the current practice of COVID-19 ambulatory care which  relies on manual status monitoring of ambulatory patients through phone calls, and leads to premature or even late hospital visits by patients, both draining healthcare worker and PPE resources, and possibly resulting in non-optimal care.

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asd-2 Project

Connected Health

Real-Time Guidance for Adults with Autism Spectrum Disorder (ASD) using Sensor Fusion, AI and Augmented Reality

Principal Investigator
Leanne Chukoskie
Co-Principal Investigators
Pamela C. Cosman
Co-Investigators
Sujit Dey, Craig Callender, Shana Cohen, Joshua Shapiro
Research Students
Wenchuan Wei, Onur Tepencelik, Saygin Artiran, Sundar Rengarajan, Trent Simmons, Jada Wiggleton-Little , Jessica Miguel

The goal of this project is to create multiple systems to improve workplace efficacy of young adults with ASD including a range of workplace communication trainings tools, such as video games, role-playing scenarios, and technology-enabled training systems. The training systems are based on virtual reality (VR) and augmented reality (AR) that will enable high functioning individuals with ASD to develop workplace-appropriate behaviors, such as looking at conversational partners, maintaining interpersonal distance, orienting the body for dyadic and triadic conversations, and providing appropriately timed engagement responses when listening.

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