Abstract
In this paper, we introduce a mobile u-health service system, named THE-MUSS, which supports u-health service development and running, with functions, modules, and facilities that are commonly required for various mobile u-health services. Basic modules to support bio-signal capturing, processing, analysis, diagnosis, feedbacks are prepared and stacked in the system. Reusability and evolvability are elicited as the primary design goals to achieve in developing THE-MUSS after the understanding of u-health service characteristics. U-health service platform, u-health ontology incorporated u-health service design tool, Matrix based disease group identification framework, and u-health portal are the major components constructing the layered architecture of THE-MUSS. Mobile stress and weigh management services are developed on THE-MUSS to confirm and evaluate the usefulness of THE-MUSS in developing mobile u-health services. According to the evaluation, it turned out that THE-MUSS has strength in reusability and evolvability, but also in system flexibility, adaptability, interoperability, and guideline provision for developing u-health services.
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References
Han, D., Ko, I., Park, S.: An Evolving Mobile e-Health Service Platform. In: Proceedings of IEEE International Conference on Consumer Electronics – ICCE 2007, USA, pp. 337–338 (January 2007)
Han, D., Ko, I., Park, S., Lee, M., Jung, S.: A BPM-Based Mobile u-Health Service Framework. In: Proceedings of International Conference on Health Informatics, Portugal, vol. 1, pp. 110–117 (January 2008)
Han, D., Song, S., Koo, J.: WebVine suite: A web services based BPMS. In: Zhou, X., Li, J., Shen, H.T., Kitsuregawa, M., Zhang, Y. (eds.) APWeb 2006. LNCS, vol. 3841, pp. 1185–1188. Springer, Heidelberg (2006)
Han, D., Song, J., Matai, J., Lee, M.: A Probability-Based Prediction Framework for Stress Identification. In: 2007 9th International Conference on e-Health Networking, Application and Services – Healthcom 2007, Taipei, Taiwan, pp. 58–63 (June 2007)
Jensen, F.V.: Introduction to Bayesian Networks, 1st edn. Springer, New York (1996)
Smith, H., Fingar, P.: Business Process Management: The Third Ware. Meghan-Kiffer Press (2003)
Koh, K.B., Park, J.K., Kim, C.H., Cho, S.H.: Development of the Stress Response Inventory and Its Application in Clinical Practice. Psychosomatic Medicine 63, 668–678 (2001)
Wiegers, K.E.: Software Requirements, 2nd edn. Microsoft Press (2003)
Lehrer, P.M., Woolfolk, R.L., Sime, W.E., Barlow, D.: Principles and Practice of Stress Management, 3rd edn. Guilford Publications, New York (2007)
Quero, J.M., Tarrida, C.L., Santana, J.J., Ermolov, V., Jantunen, I., Laine, H., Eichholz, J.: Health Care Applications Based on Mobile Phone Centric Smart Sensor Network. In: Proceedings of 29th International Conference on Engineering in Medicine and Biology Society, pp. 6298–6301 (August 2007)
Istepanian, R.S.H., Laxminarayan, S., Pattichis, C.S.: M-Health: Emerging Mobile Health Systems. Springer Science+Business Media (2006)
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Han, D., Park, S., Lee, M. (2008). THE-MUSS: Mobile U-Health Service System. In: Fred, A., Filipe, J., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2008. Communications in Computer and Information Science, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92219-3_28
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DOI: https://doi.org/10.1007/978-3-540-92219-3_28
Publisher Name: Springer, Berlin, Heidelberg
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