Using Cloud-Based Physical Activity Data from Google Fit and Apple Healthkit to Expand Recording of Physical Activity Data in a Population Study
Large population studies are important sources for medical research. These studies are well planned, well organized, and costly. However, people record health data themselves using different sensors, which are mostly unplanned, unorganized and inexpensive. Nevertheless, self-recorded data might be an important supplement to population studies. The question is how to access and use this data. In the seventh survey of the Troms(o) cohort study, questionnaires and accelerometers were used to collect data on physical activity (PA). We now plan to collect historical PA data from these participants, using mobile sensor data already stored in the cloud. We will examine the feasibility of this approach and the quality of this data. Objectively measured historical data will provide valuable insights in the potential and limitations of mobile sensors as new data collection tools in medical research.
Cohort studies Human Activity Fitness Trackers
André Henriksen Laila Arnesdatter Hopstock Gunnar Hartvigsen Sameline Grimsgaard
Department of Community Medicine,UiT The Arctic University of Norway,Troms(o),Norway Department of Community Medicine,UiT The Arctic University of Norway,Troms(o),Norway;Department of H Department of Computer Science,UiT The Arctic University of Norway,Troms(o),Norway;Norwegian Centre
国际会议
第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)
苏州
英文
108-112
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）