L.I.A. deals with research activities in the field of Medical Diagnostics, Telemedicine and Biometric Identification


Studies have been conducted, in collaboration with the Campus Biomedico University of Rome, aimed at the study of systems for multiparametric home telemonitoring in COPD patients (Bronco Pneumopatia Cronica Obstructive) with the aid of wearable sensors and mobile technologies. In particular, an algorithm has been identified that can detect the onset of flare-ups or of clinically critical situations that could lead to a worsening of the health status of the subject affected by COPD. This evidence emerged from a study published in the IEEE Journal of Biomedical and Health Informatics of March 2017 and is currently being tested on a population of 500 patients at the Health Protection Company (ATS) in Sardinia (Italy). International Patent Application PCT / IT2015 / 000146.
Also in collaboration with the Campus Biomedico University of Rome, studies are being carried out concerning “Continuous multiparametric control in the management of type 2 diabetes”. The study addresses diagnostic aspects of DM2 that can be easily translated into clinical applications and related commercial devices.

Medical Diagnostics

With the collaboration of the Istituto Superiore di Sanità of Rome, research and development activities are being carried out aimed at creating a “DIFFERENTIAL MEDICAL DIAGNOSIS APPARTUS ADAPTED IN ORDER TO DETERMINE AN ​​OPTIMAL SEQUENCE OF DIAGNOSTIC TESTS IDENTIFYING TO PATHOLOGY BY ADOPTING DIAGNOSTIC APPROPRIATENESS CRITERIA “. It is a system capable of supporting the doctor throughout the diagnosis process and based on a statistical model tested at the ISS capable of drastically reducing the diagnosis time and significantly the amount of diagnostic tests to be performed. Italian Patent No. 0001425557, International Patent Application No. PCT / IB2015 / 05536.

Biometric identification by ECG

The objective of the study is to design and define the specifications of an algorithm for Biometric Identification based on the ECG acquired at a single derivation (one lead). Subsequently, the algorithm will be made available through the prototype implementation through a software library, which will be tested and validated. The choice of using a single-lead ECG is suitable for Biometric Applications since it simplifies and accelerates the signal acquisition setup, since it requires only the use of two electrodes and therefore only two points of contact between the acquisition device and the subject from which the ECG is recorded. Study conducted with the Unit of Processing Systems and Bioinformatics of the Campus Bio-Medico University of Rome