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Artificiell intelligens och intelligenta system

Automatiserade mjukvaruspråkutveckling och mjukvaruteknik

Digitalisering

Formell modellering och analys av inbyggda system

Förnybar energi

Industriell programvaruteknik

Komplexa inbyggda system i realtid

Lärande och optimering

Medicinsk teknik

Modellbaserad konstruktion av inbäddade system

Programmeringsspråk

Certifierbara bevis och justifieringsteknik

Cyber-fysisk systemanalys

Datakommunikation

Heterogena system

Programvarutestlaboratorium

Resurseffektivisering

Säkerhetskritisk teknik

Teknisk matematik

AIM, Artificial Intelligence in Medical Applications

AI techniques have valuable benefits to offer medical systems. Techniques such as abstraction, conceptualization (of sensor data), Semantic Nets, Case-Based Reasoning (CBR), Clustering, and User Modeling have been used to develop theories and a system that is able to classify complex medical measurements from a person that may need preventive actions and treatment for stress problems.

Avslutat

Start

2002-01-01

Avslut

2006-01-31

Forskningsinriktning

Projektansvarig vid MDH

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Description of the project

AI techniques have valuable benefits to offer medical systems. Techniques such as abstraction, conceptualization (of sensor data), Semantic Nets, Case-Based Reasoning (CBR), Clustering, and User Modeling have been used to develop theories and a system that is able to classify complex medical measurements from a person that may need preventive actions and treatment for stress problems. The developed method and techniques are able to classify individual sensor data that can be used for a final classification of a person. Hearth rate variability, finger temperature, conductance, breathing and CO2 level are the measurements used in this clinical diagnosis process.

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