Use of Wearable and Implantable Devices in Health Research
Videos from BIRS Workshop
Max Little, University of Birmingham
Monday Feb 24, 2020 09:13 - 09:27
Joint and Individual Representation of Domains of Sleep, Physical Activity, and Circadian Rhythmicity: Multilevel Perspective
Amy Herring, Duke University
Monday Feb 24, 2020 09:27 - 09:52
Missing Data in Accelerometry: Challenges and Considerations
Jaroslaw Harezlak, Indiana University
Monday Feb 24, 2020 10:32 - 10:50
Jeff Goldsmith, Columbia University
Monday Feb 24, 2020 10:50 - 11:10
Functional data methods for accelerometer data
Min Qian, Columbia University
Monday Feb 24, 2020 14:36 - 14:58
Policy Learning with high dimensional actions
Susan Murphy, Harvard University
Tuesday Feb 25, 2020 09:03 - 09:28
Hau-Tieng Wu, Duke University
Tuesday Feb 25, 2020 09:35 - 10:00
How to apply modern harmonic analysis to study high frequency physiological time series?
Yonatan Mintz, Georgia Institute of Technology
Tuesday Feb 25, 2020 11:11 - 11:36
Applications of Wearable Devices in Personalized Healthcare
Raymond Carroll, Texas A&M University
Tuesday Feb 25, 2020 14:52 - 15:17
Using Scores to Predict Health Outcomes in Epidemiological Studies
Jennifer Schrack, Johns Hopkins University
Wednesday Feb 26, 2020 10:02 - 10:22
Using Wearables to Think Beyond MVPA
Sarah Keadle, California Polytechnic State University
Wednesday Feb 26, 2020 11:29 - 11:44
Can we "open" the black box and convince health researchers to use machine learning?
Julia Wrobel, Columbia University
Thursday Feb 27, 2020 09:10 - 09:27
Registration of 24-hour accelerometer profiles with application to human chronotypes
Eric Laber, North Carolina State University
Thursday Feb 27, 2020 09:29 - 09:50
Experimental design for reinforcement learning problems
Andrew Wilson, New York University
Thursday Feb 27, 2020 09:51 - 10:16
Practical Bayesian Deep Learning
Richard Fletcher, Massachusetts Institute of Technology
Thursday Feb 27, 2020 10:16 - 10:45
Sensor Hardware and New Opportunities for Data Analysis
Niranjan Bidargaddi, Flinders University
Thursday Feb 27, 2020 11:06 - 11:30
Developing Digital Tools to Monitor and Support Mental Health
John Staudenmayer, University of Massachusetts
Thursday Feb 27, 2020 11:47 - 12:08
Introduction to a new high resolution calibration dataset: free living people, accelerometry, and direct observation
Loki Natarajan, University of California San Diego
Thursday Feb 27, 2020 12:09 - 12:36
Modeling Densely Sampled Activity Data Derived from Wearable Sensors: Opportunities and Challenges
Brinnae Bent, Duke University
Friday Feb 28, 2020 09:09 - 09:28
Open-source digital biomarker development
