Artificiell intelligens och intelligenta system
Automatiserade mjukvaruspråkutveckling och mjukvaruteknik
Certifierbara bevis och justifieringsteknik
Formell modellering och analys av inbyggda system
Komplexa inbyggda system i realtid
Lärande och optimering
Modellbaserad konstruktion av inbäddade system
Continuous monitoring of COPD patients
The project focuses on physiological parameters that are crucial for detecting exacerbation and life-threatening events, but are currently not measured for COPD patients outside of hospitals.
Description of the project
Chronic Obstructive Pulmonary Disease (COPD) is the fourth most frequent cause of death worldwide. There are two reasons why it is desirable to monitor COPD patients outside of hospitals. One is economical, since it has been shown that more than 70% of COPD–related healthcare costs are consequences of emergency and hospital stays for treatment of exacerbations. Early identification of exacerbation and consequently a prompt treatment, reduces hospital stay and overall costs. The other reason is that common lifethreatening events, can be automatically detected in a timely manner for an efficient treatment. Early detections improve recovery time, facilitate more efficient care, and improve quality of life.
The project focuses on physiological parameters that are crucial for detecting exacerbation and life-threatening events, but are currently not measured for COPD patients outside of hospitals. Novel signal processing and reasoning algorithms are developed for the purpose of detecting life-threatening events and generating alarms, based on the physiological parameters, in remote settings. The findings are to be implemented in a prototype system for continuous monitoring of COPD patients. The system will be consisted of the sensors, and a personal computing device on which the system logic will be implemented.