Wearables for population health
The research group is pioneering the development and design of innovative algorithms for wearable activity monitors, specifically tailored to assess 24-hour movement behaviors across diverse populations. The group utilizes advanced and innovative analytical methods to reveal the complex relationship between behaviors, health, and physical activity.
![University logo with title Wearables for population health](https://media-cdn.oulu.fi/styles/main_image/s3/images/MicrosoftTeams-image%20%281%29_1.png?itok=WMMpew-A)
Research group information
Unit and faculty
Contact information
Research group leader
- Assistant professor and research fellow
- Postdoctoral researcher
Researchers
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.