Development of Intelligent eHealth Systems in the Future Internet Architecture

One of the most important directions in the development of eHealth systems is their personalization. Body area networks with wireless sensors and portable access devices allow one to design applications for supporting people in their daily activities. On the other hand, they require substantial data analysis and processing which are inherent features of the medical domain. We describe few service-based applications utilizing a Future Internet architecture which supports QoS guarantees for the communication between their components and also show how they can benefit from its features such as quality of service (QoS) provisioning and resources reservation. We demonstrate how proposed applications address content, context and user awareness based on the underlying Next Generation Network (NGN) infrastructure and give examples of decision-making tasks performed by applications.

[1]  Piotr Rygielski,et al.  TRANSLATIONS OF SERVICE LEVEL AGREEMENT IN SYSTEMS BASED ON SERVICE-ORIENTED ARCHITECTURES , 2010, Cybern. Syst..

[2]  Giovanni Sparacino,et al.  Diabetes: Models, Signals, and Control , 2009 .

[3]  Cem Ersoy,et al.  Wireless sensor networks for healthcare: A survey , 2010, Comput. Networks.

[4]  Krzysztof Juszczyszyn,et al.  Service Composition in Knowledge-based SOA Systems , 2012, New Generation Computing.

[5]  Sean T. Miller,et al.  Validating the Adidas miCoach for estimating pace, distance, and energy expenditure during outdoor over-ground exercise accelerometer , 2012 .

[6]  Luca Chittaro,et al.  MOPET: A context-aware and user-adaptive wearable system for fitness training , 2008, Artif. Intell. Medicine.

[7]  Krzysztof Juszczyszyn,et al.  Supporting Content, Context and User Awareness in Future Internet Applications , 2012, Future Internet Assembly.

[8]  C. Cobelli,et al.  Physical Activity into the Meal Glucose—Insulin Model of Type 1 Diabetes: In Silico Studies , 2009, Journal of diabetes science and technology.

[9]  Luis M. Camarinha-Matos,et al.  Technological Innovation for Sustainability - Second IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2011, Costa de Caparica, Portugal, February 21-23, 2011. Proceedings , 2011, DoCEIS.

[10]  John Domingue,et al.  The Future of the Internet , 1999, Academia Letters.

[11]  Alexander Gelbukh,et al.  MICAI 2005: Advances in Artificial Intelligence, 4th Mexican International Conference on Artificial Intelligence, Monterrey, Mexico, November 14-18, 2005, Proceedings , 2005, MICAI.

[12]  Maciej Zieba,et al.  The Proposal of Service Oriented Data Mining System for Solving Real-Life Classification and Regression Problems , 2011, DoCEIS.

[13]  Piotr Rygielski,et al.  Context Change Detection for Resource Allocation in Service-Oriented Systems , 2011, KES.

[14]  Jakub M. Tomczak,et al.  Development of Service Composition by Applying ICT Service Mapping , 2012, CN.

[15]  Luis M. Camarinha-Matos,et al.  Technological Innovation for Value Creation , 2012, IFIP Advances in Information and Communication Technology.

[16]  Jakub M. Tomczak On-Line Change Detection for Resource Allocation in Service-Oriented Systems , 2012, DoCEIS.

[17]  Cesare Pautasso,et al.  Autonomic Computing for Virtual Laboratories , 2006, Research Results of the DICS Program.

[18]  Raouf Boutaba,et al.  A survey of network virtualization , 2010, Comput. Networks.

[19]  Jordi Mongay Batalla,et al.  Provision of end-to-end QoS in heterogeneous multi-domain networks , 2008, Ann. des Télécommunications.

[20]  André Schiper,et al.  Dependable Systems , 2006, Research Results of the DICS Program.

[21]  Martin Odersky,et al.  Scalable Programming Abstractions for XML Services , 2006, Research Results of the DICS Program.

[22]  Van Jacobson,et al.  Networking named content , 2009, CoNEXT '09.

[23]  Maciej Zięba,et al.  Services Recommendation in Systems Based on Service Oriented Architecture by Applying Modified ROCK Algorithm , 2010, NDT.

[24]  Wojciech Cellary,et al.  Software Services for e-World - 10th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2010, Buenos Aires, Argentina, November 3-5, 2010. Proceedings , 2010, I3E.

[25]  Pawel Swiatek,et al.  ADAPTIVE DECISION SUPPORT SYSTEM FOR AUTOMATIC PHYSICAL EFFORT PLAN GENERATION—DATA-DRIVEN APPROACH , 2013, Cybern. Syst..

[26]  Daniel Arthur James,et al.  Towards a wearable device for skill assessment and skill acquisition of a tennis player during the first serve , 2009 .

[27]  David L. Black,et al.  An Architecture for Differentiated Service , 1998 .

[28]  Witold Góralski,et al.  Performance Evaluation of Signaling in the IP QoS System , 2023, Journal of Telecommunications and Information Technology.

[29]  Luis Enrique Sucar,et al.  A Semi-open Learning Environment for Virtual Laboratories , 2005, MICAI.

[30]  Andrey V. Savkin,et al.  Nonlinear Modeling and Control of Human Heart Rate Response During Exercise With Various Work Load Intensities , 2008, IEEE Transactions on Biomedical Engineering.

[31]  Piotr Rygielski,et al.  Dynamic Resources Allocation for Delivery of Personalized Services , 2010, I3E.

[32]  Lakhmi C. Jain,et al.  Knowledge-Based Intelligent Information and Engineering Systems , 2004, Lecture Notes in Computer Science.

[33]  Radoslaw Rudek,et al.  The solution algorithms for the multiprocessor scheduling with workspan criterion , 2013, Expert Syst. Appl..

[34]  Jakub M. Tomczak,et al.  Decision rules extraction from data stream in the presence of changing context for diabetes treatment , 2012, Knowledge and Information Systems.