Uranus: A Middleware Architecture for Dependable AAL and Vital Signs Monitoring Applications

The design and realization of health monitoring applications has attracted the interest of large communities both from industry and academia. Several research challenges have been faced and issues tackled in order to realize effective applications for the management and monitoring of people with chronic diseases, people with disabilities, elderly people. However, there is a lack of efficient tools that enable rapid and possibly cheap realization of reliable health monitoring applications. The paper presents Uranus, a service oriented middleware architecture, which provides basic functions for the integration of different kinds of biomedical sensors. Uranus has also distinguishing characteristics like services for the run-time verification of the correctness of running applications and mechanisms for the recovery from failures. The paper concludes with two case studies as proof of concept.

[1]  Antti Vehkaoja,et al.  Wireless, Multipurpose In-Home Health Monitoring Platform: Two Case Trials , 2010, IEEE Transactions on Information Technology in Biomedicine.

[2]  Fabio Bellifemine,et al.  Platform-independent development of collaborative wireless body sensor network applications: SPINE2 , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

[3]  Upkar Varshney,et al.  Pervasive Healthcare and Wireless Health Monitoring , 2007, Mob. Networks Appl..

[4]  Michael R. Clarkson,et al.  Formal Methods Application: An Empirical Tale of Software Development , 2002, IEEE Trans. Software Eng..

[5]  R.S. Hall,et al.  An OSGi implementation and experience report , 2004, First IEEE Consumer Communications and Networking Conference, 2004. CCNC 2004..

[6]  Giuseppe De Pietro,et al.  A multimodal semantic location service for intelligent environments: an application for Smart Hospitals , 2009, Personal and Ubiquitous Computing.

[7]  Diego López-de-Ipiña,et al.  An Ambient Assisted Living Platform Integrating RFID Data-on-Tag Care Annotations and Twitter , 2010, J. Univers. Comput. Sci..

[8]  Paul Lukowicz,et al.  A systematic approach to the design of distributed wearable systems , 2004, IEEE Transactions on Computers.

[9]  Anne-Marie Kermarrec,et al.  The many faces of publish/subscribe , 2003, CSUR.

[10]  Michael R. Lowry,et al.  Combining test case generation and runtime verification , 2005, Theor. Comput. Sci..

[11]  Antonio F. Gómez-Skarmeta,et al.  An internet of things–based personal device for diabetes therapy management in ambient assisted living (AAL) , 2011, Personal and Ubiquitous Computing.

[12]  Javier Bajo,et al.  Using Heterogeneous Wireless Sensor Networks in a Telemonitoring System for Healthcare , 2010, IEEE Transactions on Information Technology in Biomedicine.

[13]  H. S. Wolff,et al.  iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression , 2022, Sensors.

[14]  J. Parkka,et al.  Application of Near Field Communication for Health Monitoring in Daily Life , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[15]  Diane J. Cook,et al.  Author's Personal Copy Pervasive and Mobile Computing Ambient Intelligence: Technologies, Applications, and Opportunities , 2022 .

[16]  Nikolaos G. Bourbakis,et al.  A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[17]  L. Gatzoulis,et al.  Wearable and Portable eHealth Systems , 2007, IEEE Engineering in Medicine and Biology Magazine.

[18]  Gregorio López,et al.  LOBIN: E-Textile and Wireless-Sensor-Network-Based Platform for Healthcare Monitoring in Future Hospital Environments , 2010, IEEE Transactions on Information Technology in Biomedicine.

[19]  Rita Paradiso,et al.  A wearable health care system based on knitted integrated sensors , 2005, IEEE Transactions on Information Technology in Biomedicine.

[20]  Ying Zhang,et al.  Bluetooth-Based Sensor Networks for Remotely Monitoring the Physiological Signals of a Patient , 2009, IEEE Transactions on Information Technology in Biomedicine.

[21]  Piotr Ponikowski,et al.  Home telemonitoring in heart failure patients: the HHH study (Home or Hospital in Heart Failure) , 2009, European journal of heart failure.

[22]  Marcela D. Rodríguez,et al.  Supporting the strategies to improve elders’ medication compliance by providing ambient aids , 2011, Personal and Ubiquitous Computing.

[23]  Javier Bajo,et al.  Applying wearable solutions in dependent environments , 2010, IEEE Transactions on Information Technology in Biomedicine.

[24]  Giuseppe De Pietro,et al.  Formal Design of Ambient Intelligence Applications , 2010, Computer.

[25]  Shyamal Patel,et al.  Mercury: a wearable sensor network platform for high-fidelity motion analysis , 2009, SenSys '09.

[26]  Diego López-de-Ipiña,et al.  Ambient Intelligence Vision: A Perspective , 2010, J. Univers. Comput. Sci..

[27]  Giuseppe De Pietro,et al.  Formal specification of wireless and pervasive healthcare applications , 2010, TECS.

[28]  Giuseppe De Pietro,et al.  Tools for the Rapid Prototyping of Provably Correct Ambient Intelligence Applications , 2012, IEEE Transactions on Software Engineering.

[29]  B. Wakefield,et al.  Care Coordination/Home Telehealth: the systematic implementation of health informatics, home telehealth, and disease management to support the care of veteran patients with chronic conditions. , 2008, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[30]  Felix C. Freiling,et al.  Dependability Issues of Pervasive Computing in a Healthcare Environment , 2003, SPC.

[31]  Chwan-Lu Tseng,et al.  A Mobile Care System With Alert Mechanism , 2007, IEEE Transactions on Information Technology in Biomedicine.

[32]  Mani B. Srivastava,et al.  Power management in energy harvesting sensor networks , 2007, TECS.

[33]  A. Rigby,et al.  Noninvasive home telemonitoring for patients with heart failure at high risk of recurrent admission and death: the Trans-European Network-Home-Care Management System (TEN-HMS) study. , 2005, Journal of the American College of Cardiology.

[34]  Diego López-de-Ipiña,et al.  Theme issue: “ubiquitous computing and ambient intelligence” , 2011, Personal and Ubiquitous Computing.

[35]  Linpeng Huang,et al.  R-OSGi-based architecture of distributed smart home system , 2008, IEEE Transactions on Consumer Electronics.