The HOTS (Hierarchy Of event-based Time-Surfaces) algorithm – at the heart of Chronolife’s patented technologies was developed by some of the company’s historical founders at the Vision Institute. HOTS is a neuromorphic algorithm capable of continuously analyzing complex data streams on low bandwidth such as smartphones or tablets.

Realizing the huge potential of HOTS in analyzing and detecting health events, the Chronolife team objective was to integrate this artificial intelligence within a connected device in order to feed the algorithm with multiparameter and continuous health data.

That’s when we started to prototype and eventually create our 3 Keehealth remote monitoring solutions, based on a multiparameter connected garment:

The predictive solution, aimed at predicting cardiac decompensation*
Keesense (Medical device CE Class IIa), dedicated to chronic disease patients
Smart Textile, dedicated to prevention and risk reduction.

The garment is completely machine washable and worn like everyday garments, ensuring user adherence and promoting patient’s quality of life.

Fast forward to now, Chronolife has developed a full-fledged suite of remote health monitoring services – Keehealth, with the first real-world applications in monitoring patients with chronic diseases, therapeutic efficiency programs as well as prevention and ageing in place. Our solutions offer the possibility to connect with third-party devices (e.g saturometer), thanks to their interoperability.

We’re rapidly expanding our offerings to other medical conditions and other areas with our Reference Design solution, which allows our customers to develop a connected textile adapted to specific needs.

Chronolife SAS software

Chronolife - Model HOTS - Predictive Algorithm