Adaptive Strategies for Patient Monitoring in Mobile Health Applications

Mathieu Bagot (1, 2, 3) , Pascale Launay (1, 2, 3) , Frédéric Guidec (1, 2, 3)

1 CASA - Disruption-Tolerant Networking & Computing
2 UBS - Université de Bretagne Sud
3 IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES

Remotely monitoring the health status of patients in all their activities of daily living is an interesting prospect. Yet an m-Health application devoted to patient monitoring should be able to deal with constrained and unstable operating conditions, such as limited power budget and disruption-prone network connectivity. This paper presents REGAS, a middleware system that makes it possible for a developer to define and enforce adaptive strategies, so their application can continuously adjust its behavior to changing operating conditions. Experimental results confirm that carefully designed strategies can have a significant impact on transmission delays, as well as on the power consumption of an m-Health monitoring application.

Mots clés: mobile health; remote monitoring; context- aware application; middleware system; adaptive monitoring

Domaines: Informatique mobile

Mathieu Bagot, Pascale Launay, Frédéric Guidec. Adaptive Strategies for Patient Monitoring in Mobile Health Applications. International Symposium on Health and Medical informatics, Management and Security (HMiMS 2019), Oct 2019, Granada, Spain. ⟨hal-02341195⟩