Speaker abstracts and biographies for the “Consumer Wearables: The Path to Clinical Application” session. See agenda for more information.
Abby King
Leveraging information technologies and citizen science for population-wide health promotion
While technology has served as a major “driver” of many of society’s comforts, conveniences and advances, it has engineered regular movement and similar positive health behaviors out of our daily lives. A major question focuses on the ways that we can harness technology for “good” in the health promotion area. Examples of particularly promising mHealth technologies in this arena that represent the “me” and “we” IT domains will be presented. These include tele-health platforms, virtual advisors, and citizen science approaches to expanding the reach and impact of mHealth interventions to more diverse segments of the population.
About the speaker: Abby King, PhD is Professor of Health Research & Policy and Medicine at Stanford School of Medicine. Recipient of the Outstanding Scientific Contributions in Health Psychology Award from the American Psychological Association, her research focuses on the development, evaluation, and translation of public health interventions to reduce chronic disease. Her government taskforce memberships include the U.S. DHHS Secretary’s Scientific Advisory Committee on National Health Promotion and Disease Prevention Objectives for 2020. An elected member of the Academy of Behavioral Medicine Research and Past President of the Society of Behavioral Medicine, she received AAMC honors for outstanding research targeting health inequities.
Jure Leskovec
The mobile device as a sensor for worldwide physical activity and health
The growing popularity of smartphones and wearable sensors provides us with an unprecedented view of physical activity and health outcomes across millions of individuals. We will present ongoing work and initial results from our analysis of the data collected from Azumio’s Argus smartphone app. In particular, we will discuss (1) whether/how large-scale data from mobile tracking devices can be used for medical research, (2) how to distill activity data captured on a minute-by-minute basis from millions of individuals into a concise set of measures, (3) how to connect these measures to health outcomes, and (4) initial results on the relationship between physical activity and one’s environment.
About the speaker: Jure Leskovec is assistant professor of Computer Science at Stanford University and chief scientist at Pinterest. Computation over massive data is at the heart of his research and has applications in computer science, social sciences, economics, marketing, and healthcare. This research has won several awards including a Lagrange Prize, Microsoft Research Faculty Fellowship, the Alfred P. Sloan Fellowship, and numerous best paper awards. Leskovec received his bachelor’s degree in computer science from University of Ljubljana, Slovenia, and his PhD in in machine learning from the Carnegie Mellon University and postdoctoral training at Cornell University. You can follow him on Twitter @jure.
Jim Rehg
Sensing movement and activity through first person vision
Recent progress in miniaturizing digital cameras and improving battery life has created a growing market for wearable cameras, exemplified by products such as GoPro and Google Glass. The imagery captured by these cameras is a unique video modality which implicitly encodes the attention, movement, and intentions of the user. The analysis of such video through First-Person Vision (FPV) provides new opportunities to model and analyze human behavior, create personalized records of visual experiences, and improve our understanding and treatment of a broad range of mental and physical health conditions. This talk will describe current research progress in First Person Vision, with a specific focus on measuring aspects of human movement and activity. It will describe the unique properties of first person video and describe some preliminary work on from our group and others on the use of robot localization algorithms (i.e. SLAM) to measure human movement during daily life. We will also describe progress in automatically recognizing activities of daily living from FPV in a home environment. This is joint work with Drs. Agata Rozga, Maithilee Kunda, Alireza Fathi, and Ph.D. students Yin Li and Alicia Bargar.
About the speaker: James M. Rehg (pronounced “ray”) is a Professor in the School of Interactive Computing at the Georgia Institute of Technology, where he is Director of the Center for Behavioral Imaging and co-Director of the Computational Perception Lab (CPL). He received his Ph.D. from CMU in 1995 and worked at the Cambridge Research Lab of DEC (and then Compaq) from 1995-2001, where he managed the computer vision research group. He received an NSF CAREER award in 2001 and a Raytheon Faculty Fellowship from Georgia Tech in 2005. He and his students have received best student paper awards at ICML 2005, BMVC 2010, Mobihealth 2014, and Face and Gesture 2015, and a 2013 Method of the Year Award from the journal Nature Methods. Dr. Rehg serves on the Editorial Board of the Intl. J. of Computer Vision, and he served as the Program co-Chair for ACCV 2012 and General co-Chair for CVPR 2009, and will serve as Program co-Chair for CVPR 2017. He has authored more than 100 peer-reviewed scientific papers and holds 25 issued US patents. His research interests include computer vision, machine learning, robot perception and mobile health. Dr. Rehg was the lead PI on an NSF Expedition to develop the science and technology of Behavioral Imaging, the measurement and analysis of social and communicative behavior using multi-modal sensing, with applications to developmental disorders such as autism. He is currently the Deputy Director of the NIH Center of Excellence on Mobile Sensor Data-to-Knowledge (MD2K), which is developing novel on-body sensing and predictive analytics for improving health outcomes. See www.cbs.gatech.edu and md2k.org for details.
Matthew Smuck
Physical performance monitoring: Making fitness trackers clinically relevant
Fitness trackers currently have little value in the health setting. Research shows that data from existing fitness trackers shows disappointingly little or no distinction between many diseased populations and controls. This is even true for common mobility-limiting diseases such as knee osteoarthritis. By changing the focus from fitness tracking to physical performance monitoring, we developed methods that make physical activity data clinically relevant in orthopedics. This led to new discoveries into the mechanisms linking physical activity to orthopedic disease, and established a platform for predictive clinical models using activity trackers.
About the speaker: Matthew Smuck, MD is the Chief of Physical Medicine & Rehabilitation and Associate Professor of Orthopaedics at Stanford University. He is also an award-winning researcher who pioneered the new field of physical performance monitoring. He directs the Wearable Health Lab at Stanford, investigating medical applications of mobile technology to improve disease detection, treatment and prevention. Dr. Smuck regularly lectures on his research in the U.S. and abroad. He has received awards from numerous scientific societies and journals, including The Spine Journal’s 2013 Outstanding Paper Award, the American Academy of PM&R’s 2014 President’s Citation Award, and the Foundation for Physical Medicine and Rehabilitation’s 2015 PM&R Journal Best Original Research Award.
David Shaywitz
About the moderator: Dr. Shaywitz is chief medical officer at DNAnexus, and holds an adjunct appointment as Visiting Scientist in the Department of Biomedical Informatics at Harvard Medical School. He has a decade of experience in the life science industry, with experience in R&D, strategy, and commercial operations through his work at Merck, the Boston Consulting Group, and Theravance. Dr. Shaywitz received his MD/PhD from Harvard and MIT, and trained in internal medicine and endocrinology at the Massachusetts General Hospital. He is co-author, with Lisa Suennen, of “Tech Tonics: Can Passionate Entrepreneurs Heal Healthcare With Technology?”, and writes regularly about entrepreneurial innovation in medicine for Forbes.