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Ambient Intelligent Healthcare Environments

Ambient Intelligent Healthcare Environments. Heather McDonald Supervisors: Prof. Chris Nugent, Dr. George Moore and Dr. Dewar Finlay. Increased Life Expectancy. Increase in Chronic Diseases. Increase in Assistive Technologies. Problem Area. Smart Home Environments.

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Ambient Intelligent Healthcare Environments

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  1. Ambient Intelligent Healthcare Environments Heather McDonald Supervisors: Prof. Chris Nugent, Dr. George Moore and Dr. Dewar Finlay

  2. Increased Life Expectancy Increase in Chronic Diseases Increase in Assistive Technologies Problem Area

  3. Smart Home Environments Homes equipped with technologies that allow the monitoring of inhabitants, whilst encouraging independence and the maintenance of health and well being [1]. [1] M. Chan, E. Campo, D. Esteve and J-Y. Fourniols, “ Smart homes – Current features and future perspectives,” Maturitas. Vol. 64, Issue. 2, pp. 90-97, Oct. 2009.

  4. Heterogeneous Data • High Level of Interest in Smart Homes has resulted in an abundance of data being generated. • Largely heterogeneous, given that it is gathered from a range of sources and services and stored in various formats. Dataset 1 – C.D. Nugent, M.D. Mulvenna, X. Hong, S. Devlin, “Experiences in the Development of a Smart Lab,” in International Journal of Biomedical Engineering and Technology, Vol.2, Number 4, 2009, p.p. 319-331. Dataset 2 – T.V. Kasteren, A. Noulas, G. Englebienne, B. Krose, “Accurate Activity Recognition in Home Setting,” in Proceedings of the 10th International Conference on Ubiquitous Computing, Vol. 344, 2008, p.p. 1-9.

  5. Project Gap • As yet, No standard exists within the research community, specifying how data should be stored. • Main Issue: • Lack of Interoperability. • Limiting data exchange, reuse and comparability between researchers. • Due to this issue there is a growing need to develop a standard format.

  6. Key Research Project: PhysioNet [2] • Purpose: Stimulating research and investigations in the area of biomedical and physiological signals. • Consists of 3 components: • PhysioBank – Offers a large archive of digital recordings signals conforming to any Wave Form Database (WFDB) compatible format. • PhysioToolkit – Offers access to software for physiological signal processing and analysis. • PhysioNet Website – Enables free and open distribution of recorded biomedical signals and open-source software. [2] PhysioNet. April. 19, 2010 [Online]. Available: http://www.physionet.org/resource.shtml. [Accessed: May.11, 2010].

  7. Key Research Project:Portable In-Home Data Collection [3] Research area being investigated by Stephen Intille. • Problem Area: Work related to context-awareness is being limited to the lack of large datasets available to researchers to test their developments and discoveries. • Proposal: A communityresource containing six datasets consisting of high-quality, synchronised data streams. • Benefit: Researchers can focus on development and testing without being stalled by the need for data collection. [3] S.Intille, "Making Home Activity Datasets a Shared Resource," 2009. [Online]. Available: http://boxlab.wikispaces.com/Mission

  8. Aim of Research To develop an innovative format to support the storage and exchange of data collected from numerous heterogeneous sources within smart environments.

  9. Contribution to Knowledge 1. New Approach Standard Formats homeML homeRuleML 2. New Service Online Resource Suite of Tools Central Repository

  10. Contribution to Knowledge Realised through answering the following questions: • Can homeML be extended to incorporate smart environments outside of the home? • Can a suite of tools be developed and a central repository created to assist researchers within this domain? • Is homeML accepted within the research domain as a standardformat for the storage and exchange of data generated within smart environments? • Can sharing decision support rules for smart environments offer decreased deployment time and increased reliability?

  11. Online Interface homeML [4] homeRuleML [5] homeML Central Repository 3 2 1 Acceptance 4 2 [4] C.D. Nugent, D.D. Finlay, R.J. Davies, H.Y. Wang, H. Zheng, J. Hallberg, K.Synnes, and M.D. Mulvenna, "homeML - An Open Standard for the Exchange of Data Within Smart Environments," Lecture Notes in Computer Science. Vol. 4541, pp. 121-129, June. 2007. [5] J. Hallberg, C.D. Nugent, R. J. Davies, K. Synnes and M. P. Donnelly, "HomeRuleML - A model for the Exchange of Decision SupportRules Within Smart Environments." in Proceedings of the 3rd Annual IEEE Conference on Automation Science and Engineering, 2007.

  12. Work to Date Can homeML be extended to incorporate smart environments outside of the home? • Review and Validate the homeML concept. • Work with open-source data sets in order to establish data formatting requirements. • Extension of homeML 1.0 incorporating environments external to the home. • Evaluation of homeML version 2.0. 1

  13. Work to Date Can a suite of tools be developed and a central repository created to assist researchers within this domain? • homeML version 2.0 XML Creator 2

  14. Further Work Can a suite of tools be developed and a central repository created to assist researchers within this domain? • The development of a suite of tools that will be available to members of the research community. • Design Experiments. • Upload Data. • Upload Rules. • Convert Data to the homeML format. • Visualise Data. • The development of a central repository to store the data generated within smart home environments. 2

  15. Further Work Is homeML accepted within the research domain as a standardformat for the storage and exchange of data generated within smart environments? 3 • Promote homeML as a standard for the storage and exchange of data within this research domain.

  16. Further Work Can sharing decision support rules for smart environments offer decreased deployment time and increased reliability? 4 • Offer researchers the opportunity to sharedecision support rules gathered from inhabitants living within intelligent environments. • Building on an original concept homeRuleML.

  17. GANTT Chart Work Performed To Date Dissemination Plans Thesis Write Up

  18. Thesis Outline Assistive Technologies Ageing Population Data Management Literature Review homeML Application Development & Design homeML Validation homeRuleML 1 2 3 4 Discussion of Results Scope for Further Work

  19. Dissemination • NIBES 2010 – Abstract Submitted H.A. McDonald, C.D. Nugent, G. Moore and D.D Finlay, “An XML Based Format for the Storage of Data Generated within Smart Home Environments,” in Proceedings of the Northern Ireland Biomedical Engineering Society. Submitted. • ITAB ‘ 10 – Planned Paper Submission H.A. McDonald, C.D. Nugent, G. Moore and D.D Finlay, “An XML Based Format for the Storage of Data Generated within Smart Home Environments,” in Proceedings of the10th IEEE International Conference on Information Technology and Applications, Nov. 2010. Submission: 15th July 2010 • Research Training Credits 85 RTC’s obtained to date.

  20. Summary During this presentation I have discussed: • Problem Area • Project Gap • Key Research Projects • Aim of Research • Steps to Achieve this Aim • Contribution to Knowledge • Work Performed to Date • Future Work

  21. Questions?

  22. Image Sources • IT and Integration, Available: http://www.iti.as/publ_images/Image/FullSmartHouse.jpg

  23. homeML [6] • Proposed as a means of solving the issues caused by the heterogeneous nature of data. • An XML-based format for the exchange and storage of data generated within intelligent environments. [6] C.D. Nugent, D.D. Finlay, R.J. Davies, H.Y. Wang, H. Zheng, J. Hallberg, K.Synnes, and M.D. Mulvenna, "homeML - An Open Standard for the Exchange of Data Within Smart Environments," Lecture Notes in Computer Science. Vol. 4541, pp. 121-129, June. 2007.

  24. homeRuleML [7] To develop a cross-system standard for decision support rules. • Proposal: to provide a widely available and freely accessible set of rules. • Benefit: Decrease deployment time and improve the inhabitants quality of life. [7] J. Hallberg, C.D. Nugent, R. J. Davies, K. Synnes and M. P. Donnelly, "HomeRuleML - A model for the Exchange of Decision SupportRules Within Smart Environments." in Proceedings of the 3rd Annual IEEE Conference on Automation Science and Engineering, 2007.

  25. Health Level 7 • HL7 [8] aims to create standards for the exchange, integration and management of electronic healthcare information using XML to enable the interoperability of healthcare documents. • The use of standards unlocks the considerable content stored within clinical notes, enabling the pooling of content from numerous documents generated using various systems. [8]“Health Level Seven,” Oct. 10, 2009. [Online]. Available: http://www.hl7.org.uk/

  26. Benefits of Research • Improved Interoperability. • Data will be easier to compare and share between researchers. • Reduce the time required to customise an environment. • More reliable data.

  27. Central Repository • A data warehouse capable of storing large amounts of data from multiplesources. • XML-Enabled Database • Benefits: • Minimum Storage as XML tags are not recorded. • Improved Data Storage, Transmission and ProcessingPerformance.

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