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Programmeringsspråk

Programvarutestlaboratorium

Resurseffektivisering

Statsvetenskap

Säkerhetskritisk teknik

Teknisk matematik

Artificiell intelligens och intelligenta system

Certifierbara bevis och justifieringsteknik

Cyber-fysisk systemanalys

Digitalisering av framtidens energi

Formell modellering och analys av inbyggda system

Förnybar energi

Heterogena system

Industriella AI-system

Industriell programvaruteknik

Komplexa inbyggda system i realtid

Lärande och optimering

Medicinsk teknik

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.

Avslutat

Start

2016-09-01

Avslut

2018-08-31

Huvudfinansiering

Forskningsområde

Forskningsinriktning

Projektansvarig vid MDU

No partial template found

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.