LEADER 02368oam 2200457zu 450 001 9910139097803321 005 20241212215904.0 010 $a9780769540375 010 $a0769540376 035 $a(CKB)2560000000009634 035 $a(SSID)ssj0000452268 035 $a(PQKBManifestationID)12182362 035 $a(PQKBTitleCode)TC0000452268 035 $a(PQKBWorkID)10468793 035 $a(PQKB)10878917 035 $a(NjHacI)992560000000009634 035 $a(EXLCZ)992560000000009634 100 $a20160829d2010 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$a2010 13th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing 210 31$a[Place of publication not identified]$cIEEE$d2010 215 $a1 online resource 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9780769540382 311 08$a0769540384 311 08$a9781424470839 311 08$a1424470838 330 $aDensity of medical clinics, ease of access to doctors, the age pyramid of the population -- these are differentiating factors among patients living in urban or rural areas which may affect the probability to survive certain diseases and attacks dramatically. The German Fontane project, a collaboration of medical experts, IT researchers and companies, focuses on remote monitoring and aftercare facilities for stroke patients and patients with heart diseases in rural Brandenburg. Within this paper, we discuss central requirements on the object-oriented self-adaptive middleware being developed for Fontane. We describe the overall system requirements, and show our approach for combining real-time data streaming interaction with classical object-oriented remote calls in one distributed middleware stack. The resulting system will form the foundation for transmission of real-time data from devices at patients' home to the remote tele-medicine monitoring center. 606 $aReal-time data processing$vCongresses 615 0$aReal-time data processing 676 $a004.33 702 $aIEEE Staff 801 0$bPQKB 906 $aPROCEEDING 912 $a9910139097803321 996 $a2010 13th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing$92373158 997 $aUNINA