Cybernano actively participates to the Fondation MAIF project « Fall Risk Assessment Tool » in partnership with the laboratory DevAH (Développement, Adaptation et Handicap) from the Université de Lorraine. 

​

In the simplest configuration of the new fall risk assessment test, each patient has only one inertial motion unit (developed by Mbientlab). This mini wireless sensor provides 9 signals analyzed by algorithms developed by Cybernano to extract numerical biomarkers able to better prevent risks and classify patient profiles.

​

Cybernano also brings its expertise in SaaS (Software as a Service) platform development in this project. The latter embeds learning algorithms which analyses IMU data for monitoring and diagnostic applications.

​

Perspectives: Cybernano is developing new algorithms to extend the health application of this project.

​

Reference: Mathieu Milhem, Thierry Bastogne and Fabien Clanché, Comparative Analysis of Matrix Factorization Based Classification Techniques. Application to the Timed-Up and Go test in Risk Falling Assessment, submitted to the 42th international conference IEEE EMBC, Montreal, July 2020.