Changing lifestyle habits such as physical activity or sleep is seen today as a priority to impact trends in the evolution of chronic diseases, as well as to improve the health-related quality of life. Wearable devices are considered as facilitators of health behavior change and provide meaningful information for more personalised interventions.
This project is based on large samples of users of connected devices all over the world, through a partnership with the Withings company. We have access to anonymised datasets of customers where we apply statistical and Artificial Intelligence (AI) based approaches to identify key signatures in the data related to physical activity, sleep and diet.
This research program aims to study how the data generated by connected devices can be leveraged to identify digital biomarkers for a more personalized and timely prevention.
Thanks to recent technological developments, the use of connected devices has exploded and has enabled the digital tracking of lifestyle factors (such as weight, physical activity, nutrition, sleep) and key biomarkers of interest for disease management (glucose variability) or cardiovascular prevention (ECG, blood pressure variability, pulse wave velocity, heart rate variability). These markers which were previously restricted to measurements at hospitals can now be monitored in a real-world environment by individuals themselves.
This project is realised in collaboration with the Withings company.
• An International Study on the Determinants of Poor Sleep Amongst 15,000 Users of Connected Devices. Fagherazzi G, El Fatouhi D, Bellicha A, El Gareh A, Affret A, Dow C, Delrieu L, Vegreville M, Normand A, Oppert JM, Severi G. J Med Internet Res. 2017 Oct 23