ReaCT
DEVICE
Heartbeat Dynamics Monitoring: smart training, personalized performance, stronger heart.
ReaCT is a groundbreaking solution designed for fitness professionals and individuals looking to optimize their cardiovascular health through personalized training. Unlike conventional algorithms, ReaCT provides real-time biometric analysis, delivering tailored feedback based on each user's unique physiological responses during exercise. By integrating initial calibration with standardized tests, it ensures precise personalization, enhances training effectiveness, and boosts motivation. Its versatility adapts to different fitness levels and activity types, making ReaCT a powerful tool for anyone seeking to maximize performance and well-being.
Project Status
Status: The ReaCT algorithm is covered by a patent application that has been filed and is currently under examination, covering the design of a wearable device that we aim to develop in the future.
Frequently asked questions
What does ReaCT do?
ReaCT analyses heartbeat dynamics in real time and returns personalised cardiovascular training feedback, calibrated on how each individual body responds during exercise. It is aimed at fitness professionals and at people who want to train on their own physiology rather than on generic heart-rate zones. It is developed at the Metabolic Intelligence Lab of Università Cattolica del Sacro Cuore in Rome.
How is it different from standard heart-rate zone algorithms?
Conventional algorithms apply fixed formulas based on age and maximum heart rate. ReaCT reads the nonlinear dynamics of the heartbeat as the effort unfolds, which is what lets it detect individual thresholds instead of assuming them.
Is there a ReaCT device I can buy?
Not yet. The algorithm is covered by a patent application, filed and under examination, which also covers the design of a wearable device the lab aims to develop. Today ReaCT exists as validated research work, not as a product.
What research is it based on?
On the cardiovascular fitness line of the lab: the automatic detection of the aerobic threshold from nonlinear heart-rate dynamics (DOI 10.3390/ijerph20031998) and the unsupervised clustering of heartbeat dynamics (DOI 10.3390/s22113974). Both are linked on the Cardiovascular Fitness page.
The full publication list behind this work is on the Publications page.