Active ageing | Electronics and Domotics |

CARD-IA

Fecha de inicio: 01 Sep 2024 Fecha de finalización prevista: 31 Aug 2027

Development of an artificial intelligence-based home monitoring system for the diagnosis and prediction of heart failure. The CARD-IA system consists of a new multiparametric, non-invasive hardware module designed to acquire biosignals such as electrocardiogram (ECG), photoplethysmogram (PPG), non-invasive blood pressure (NIBP), oximetry and other physiological signals, with ML processing at the edge and a web platform (cloud) for clinical monitoring and prediction of haemodynamic decompensation.

Código de proyecto - CPP2023-010843

Results to be achieved:

A non-invasive multi-parameter module capable of acquiring multiple biosignals such as electrocardiography, blood pressure, oximetry, and heart and respiratory rates.

Implementation of machine learning techniques for predicting haemodynamic decompensation, anticipating critical phases of heart failure.

Integration of secure data communication channels and a robust web platform equipped with advanced cybersecurity measures to protect patient information.

Comprehensive and innovative telemedicine solution improving the speed, accuracy and effectiveness of medical monitoring from the patient’s home.

A module that provides cardiologists with indicators of risk and progression of heart failure, enabling them to make clinical decisions in advance.