QuoTe An Extensible Platform for QoE Monitoring and Benchmarking of Telemedicine Applications

被引：0
|
作者：
Varela, Martin [1 ]
Maki, Toni [1 ]
Merilahti, Juho [1 ]
Rodriguez, Eva Rodriguez [2 ]
Runge, Arnaud [2 ]
机构：
[1] VTT Tech Res Ctr Finland, PL1100, Oulu, Finland
[2] European Space Agcy, ESTEC Keplerlaan 1, NL-2201 Noordwijk, AZ, Netherlands
来源：
2014 IEEE 16TH INTERNATIONAL CONFERENCE ON E-HEALTH NETWORKING, APPLICATIONS AND SERVICES (HEALTHCOM) | 2014年
关键词：
RANDOM NEURAL-NETWORKS;
D O I：
暂无
中图分类号：
R-058 [];
学科分类号：
摘要：
Telemedicine applications provide many opportunities for improving health care in a variety of conditions, in particular for people living in remote or geographically isolated areas without fast access to doctors ("medical deserts"), such as some parts of Finland. In many applications, the technologies used are actually off-the shelf solutions for videoconferencing, in some cases even used in an Over The Top (OTT) fashion over best-effort networks. In these contexts, the quality (both Quality of Experience and Quality of Service) of the whole system can have a greater significance than in other contexts such as entertainment, yet there are no quality monitoring and assessment systems specifically conceived for this purpose. In this paper we present an on-going effort to develop an extensible quality monitoring and benchmarking platform designed with video-based telemedicine applications, and the particular issues associated with them, in mind.
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页码：61 / 65
页数：5
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