According to Sociedad Española de Neurología (SEN), Parkinson’s disease prevalence and incidence is increasing and estimated that the number of people affected will double in 20 years and triple in 2050.
This project addresses a new research line that aims to use data generated from smart insoles to objectively support an early treatment of Parkinson disease (PD) and consequently improve the life quality of patients.
To achieve these common objectives the project is divided into two sub-projects with complementary objectives. In the first one (MyGait_Bio) the measurement systems to obtain BCG and IPG signals will be designed and the signal processing will be developed to reduce the influence of the movement artifacts and to be able to extract all the cardiovascular information from the patient. The system for recharging the batteries of the smart insole based on inductive methods will also be designed. This platform will combine inductive battery recharging with the reading of measurement data stored in the memory of the measurement system.
In the second sub-project (MyGait_Sensors) the aim is to develop intelligent insoles that will allow, by means of force and inertial sensors and advanced algorithms, to monitor the patient’s gait and provide personalised information on the patient’s evolution. This second project also aims to realize experimental tests with clinical supervision that will validate the technologic systems developed and obtain the maximum clinical information.
Title: MyGait: Mejora de la calidad de vida de enfermos de Parkinson a través de plantillas inteligentes multisensores
Duration: September 2021 – August 2024
Partners: ISI (UPC), HOWLAB (UZ) y B105 (UPM).
Financing entity: Proyectos de I+D+i Retos Investigación, Ministerio de Ciencia e Innovación (PID2020-116011RB-C22)