e-Health, Mobility and Big Data

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Mobility is one of the major public health issues, both for the general public and through various medical issues: aging population, diabetes, obesity, chronic pain, etc.

We believe that e-health tools can now meet the growing need for health professionals to support these patients by offering solutions for personalized follow-up, adapted to each person, particularly according to their lifestyle habits.

Started in 2019, the health, mobility and big data project is built around several issues: the implementation of dedicated sensor devices, heterogeneous data storage, deep learning techniques for semantics and activities, or patient follow-up evaluation, with the aim of exploring innovative solutions to mobility problems.

Several platforms are being developed to host the research activities of the project: a health data platform, a mobility sensor platform, and an IOT & e-health hardware platform.

Project participants

The health, mobility and big data project brings together different partners around a multidisciplinary theme:

• Simon Fraser University
• CHU Clermont-Ferrand
• Université Clermont Auvergne, including researchers from the LIMOS and LPC laboratories.

Financial support

The project -health, mobility and big data is part of the Challenge 3 of the I-SITE Clermont CAP 2025, and its axe Instruments. It also received financial support in 2020 from the Auvergne Rhône-Alpes region and the European Union within the framework of the European Regional Development Fund (FEDER) with the MobiDic project, as well as financial support from Clermont Auvergne Métropole.

Partners

The research teams involved in this project have built long-term relationships with several partners over the course of their explorations, who bring their expertise and know-how to the project.

The Analgesia Institute brings its expertise in project management for connected health applied to the problems of chronic pain.

Several experiments are underway in partnership with Withings using connected watches for monitoring sedentary activity.