Wearables for population health
Research group information
Research group description
The research group is dedicated to exploring innovative methodologies for investigating the interrelationships among wearable-measured 24-hour physical activity, sedentary behavior, sleep, and health.
Our goal is to understand how the use of time and patterns of movement and non-movement behaviors are related to several health outcomes. The research group utilizes data from large population-based cohort studies, integrating data from wearables, health records, and behavioral factors. Machine learning, deep learning, and other statistical approaches are utilized to make sense of these data, facilitating a comprehensive understanding of health and diseases at population level.