O.3.22 - Improving physical activity measurements in adults
Tracks
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| Saturday, June 17, 2023 |
| 2:00 PM - 3:30 PM |
| UKK - Hall C (Level 3) |
Speaker
Attendee1782
University of Oulu
AccNet24: An open-source deep learning framework for classifying 24-hour activity behaviours from wrist-worn accelerometer data under free-living environments
Attendee3189
Postdoctoral fellow
University of Bristol
A method for using GPS, accelerometer and heart rate data to estimate the physical activity intensity associated with e-cycling and other modes of transport
Attendee2948
Associate Professor
University Of South Carolina
Time-varying effects and mediation of physical activity on smoking cessation
Attendee930
Research Fellow
UCL
Detrended fluctuation analysis using accelerometery data and cognitive and physical function in the 1970 British Cohort Study
