A new tool improves the diagnosis of frailty syndrome

The Telecommunications Engineer Millor-Muruzábal has designed a new measuring tool that provides objective, quantifiable data to improve the diagnosis of frailty syndrome, a set of symptoms that render elderly people more vulnerable. It has been described thus in her Ph.D. thesis, read at the NUP/UPNA-Public University of Navarre, in which she wrote about a novel technology: inertial sensors that she used to analyse the patients' movements.

Millor used inertial sensors capable of providing information about how a specific moment has been carried out in a way that is "non-invasive, portable and economic." Specifically, they provide data on acceleration (the speed at which the movement varies) and angular speed (how fast a turn is made). "This not only provides data on the amount of movement, but also on how it has been made," said Millor.

The knowledge gained in this thesis, as well as other research conducted by two research groups at the UPNA (Biomechanics and physiology of movement-BIOFIM, who heads the aforementioned Mikel Izquierdo, and Algebra and applications headed Ezquerro is Luis Miguel Marin, professor, Department of Mathematics) has made it possible to create a technology-based company Movalsys, which aims to translate the movements of a patient on objective data to aid medical diagnosis.


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