Biomedical Informatics and Computation in Urban E-health

  • Anandakumar Haldorai
  • Arulmurugan Ramu
  • Suriya Murugan
Part of the Urban Computing book series (UC)


The health data offers a background of making wise decision in public health through the provision of effective evidence based data. The EHRs (electronic health records) facilitate in improved healthcare data and augment the quality of healthcare services. Thus the modern era of mobile healthcare service has accommodated vast adjustment of ubiquitous mobile and computing telecommunication thus ushering vast chances for the local authorities and firms in rethinking about their ideas in healthcare. Consequently, international urbanization activities signify a daunting challenge and thus have drawn courtesy in cities which are prospected in accumulating great number of people and offer its citizens with effective services. The two transitions have resulted in entrance of mobile health and SMART cities. Consequently in this chapter, we present the smart health idea that is the context awareness complementing the mobile health in cities. Moreover, an overview of the major sectors of skills and knowledge that entails the process of building this new idea will be explained.


Bioinformatics E-health Smart cites Urbanization Context aware Big data 


  1. 1.
    Huang, M., Neveol, A.: Recommending MeSH terms for annotating biomedical articles. J. Am. Med. Inform. Assoc. 18(5), 660–667 (2011)CrossRefGoogle Scholar
  2. 2.
    Feng, D.: Guest editorial: multimedia information technology in biomedicine. IEEE Trans. Inf. Technol. Biomed. 4(2), 85–87 (2000)CrossRefGoogle Scholar
  3. 3.
    Shortli Vel, E.H.: Medical Informatics—Computer Applications in Health Care and Biomedicine, vol. 2. Springer, New York (2000)Google Scholar
  4. 4.
    Stefanov, D.H., Bien, Z., Bang, W.-C.: The smart house for older persons and persons with physical disabilities: structure, technology arrangements, and perspectives. IEEE Trans. Neural Syst. Rehabil. Eng. 12(2), 228–250 (2004)CrossRefGoogle Scholar
  5. 5.
    Schreer, O., Kau, V.P., Sikora, T.: 3D Video Communication: Algorithms, Concepts and Real-Time Systems in Human Centred Communication. John Wiley & Sons, Chichester (2005)CrossRefGoogle Scholar
  6. 6.
    Kowalenko, K.: Home as the hub of health care. In: IEEE Spectrum, pp. 3–5. IEEE, Piscataway (2006)Google Scholar
  7. 7.
    StauVer, H.B.: Smart enabling system for home automation. IEEE Trans. Consum. Electron. 37(2), 29–25 (1991)Google Scholar
  8. 8.
    Zaki, G., Plishker, W., Li, W., Lee, J., Quon, H., Wong, J., Shekhar, R.: The utility of cloud computing in analyzing GPU-accelerated deformable image registration of CT and CBCT images in head and neck cancer radiation therapy. IEEE J. Transl. Eng. Health Med. 4, 1–11 (2016)CrossRefGoogle Scholar
  9. 9.
    Yu, R., Ding, J., Maharjan, S., Gjessing, S., Zhang, Y., Tsang, D.H.K.: Decentralized and optimal resource cooperation in geo-distributed mobile cloud computing. IEEE Trans. Emerg. Top. Comput. 6, 72–84 (2018)CrossRefGoogle Scholar
  10. 10.
    Lysne, O., Reinemo, S., Skeie, T., Solheim, A.G., Sodring, T., Huse, L.P., Johnsen, B.D.: Interconnection networks: architectural challenges for utility computing data centers. Computer. 41, 62–69 (2008)CrossRefGoogle Scholar
  11. 11.
    Frey, H., Gorgen, D.: Geographical cluster-based routing in sensing-covered networks. IEEE Trans. Parallel Distrib. Syst. 17, 899–911 (2006)CrossRefGoogle Scholar
  12. 12.
    Xie, H., Tramel, J.M., Shi, W.: Building information modeling and simulation for the mechanical, electrical, and plumbing systems. In: Proceedings of the 2011 IEEE International Conference on Computer Science and Automation Engineering, Shanghai, China, pp. 10–12. IEEE, Piscataway (2011)Google Scholar
  13. 13.
    Li, W., Chen, H., Xiang, B.: The study for GIS-based distribution network monitoring and control area fault location methods. In: Proceedings of the 2012 International Conference on Computer Science and Service System, Nanjing, China, pp. 11–13 (2012)Google Scholar
  14. 14.
    Hu, H., Zhang, H., Li, W.: Visualizing network communication in geographic environment. In: Proceedings of the 2013 International Conference on Virtual Reality and Visualization, Xi’an, China, pp. 14–15 (2013)Google Scholar
  15. 15.
    Kurian, P., Milhoutra, S., George, V.I.: Sustainable building design based on building information modeling (BIM). In: Proceedings of the 2016 IEEE International Conference on Power System Technology (POWERCON), Wollongong, NSW, Australia (2016)Google Scholar
  16. 16.
    Bhuiyan, M.Z.A., Wang, G., Wu, J., Cao, J.: Dependable structural health monitoring using wireless sensor networks. IEEE Trans. Dependable Secur. Comput. 14, 363–376 (2017)CrossRefGoogle Scholar
  17. 17.
    Küng, J., Sonnleitner, E., Stumptner, R., Kosorus, A.H., Anderlik, S.: Utilizing ontologies to integrate heterogeneous decision support systems. In: Industrial Safety and Life Cycle Engineering. Technologies/Standards/Applications; Semantic Scholar. Allen Institute of Artificial Intelligence, Seattle (2013)Google Scholar
  18. 18.
    Li, G., Zhang, J., Wang, N.: Construction and implementation of spatial analysis model based on geographic information system (GIS)—a case study of simulation for urban thermal field. In: Proceedings of the 2008 International Conference on Computational Intelligence for Modelling Control & Automation, Vienna, Austria, pp. 10–12 (2008)Google Scholar
  19. 19.
    Thouheed Ahmed, S., Sandhya, M.: Real-time biomedical recursive images detection algorithm for Indian telemedicine environment. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds.) Cognitive Informatics and Soft Computing, Advances in Intelligent Systems and Computing, vol. 768. Springer, Singapore (2019)CrossRefGoogle Scholar
  20. 20.
    Odelia, T., Jamie, N., Alvin, W., We, K.: Bridging gaps between three-generation family’s Needs and Attitudes towards e-health technologies. In: IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom) (2012)Google Scholar
  21. 21.
    Masatsugu, T.: Analysis of the long-run effect of e-health intervention on chronic diseases: a DID-PSM approach. In: 17th International Conference on E-health Networking, Applications & Services (HealthCom) (2015)Google Scholar
  22. 22.
    David, K., Sasikanth, A., Amit, B.: A Privacy Framework for Mobile Health and Home-Care Systems. ACM, New York (2015)Google Scholar
  23. 23.
    Laura, O.: Depicting credibility in health care web sites: towards a more usable means. In: ACM SIGCAPH Newsletter No. 75, January 2003 (2004)Google Scholar
  24. 24.
    Noimanee, K., Noimanee, S., Wattanasirichaigoon, S., La-oopugsin, M.D.N., Mahasitthiwat, V., Thongbunjob, K., Tungjitkusolmun, S., Ratleadkarn, P.: Development of e-health application for medical centre in broadband project. In: The 2011 Biomedical Engineering International Conference, BMEiCON (2011)Google Scholar
  25. 25.
    Nina S., Godbole, J.L.: Calculating a hospital’s IT energy efficiency and determining cost effective ways for improvement. In: IEEE (2014)Google Scholar
  26. 26.
    Poulymenopoulou, M., Malamateniou, F., Vassilacopoulos, G.: A virtual PHR authorization system. In: IEEE (2014)Google Scholar
  27. 27.
    Siddharth, M.: Design of vital sign monitor based on wireless sensor networks and telemedicine technology. In: IEEE (2014)Google Scholar
  28. 28.
    Cheng-Yi, Y., Chien-Tsai, L., Tzu-Wei, T.: Design and implementation of a privacy aware framework for sharing electronic health records. In: 2015 International Conference on Healthcare Informatics (2015)Google Scholar
  29. 29.
    Yong, K., Choi, K.K., Anne, M.T.: Medical text simplification by medical trainees: a feasibility study. In: 2016 IEEE International Conference on Healthcare Informatics (2016)Google Scholar
  30. 30.
    Palantei, E., Baharuddin, M., Andani, A., Nien, K.N., Utami, D., Febriani, A.E.A., Agus, M.: A 2.5 GHz wireless ECG system for remotely monitoring heart pulses. In: IEEE (2012)Google Scholar
  31. 31.
    Mahesh, K.S., Kunwar, S.V.: E-health for Rural Areas of Uttarakhand under governance service delivery model. In: IEEE, 1st International Conference on Recent Advances in Information Technology, RAIT (2012)Google Scholar
  32. 32.
    Akematsu, Y., Tsuji, M.: An empirical analysis of the reduction in medical expenditures by e-health users. J. Telemed. Telecare. 15(3), 109–111 (2009)CrossRefGoogle Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringSri Eshwar College of EngineeringCoimbatoreIndia
  2. 2.Department of Computer Science and EngineeringPresidency UniversityYelahanka, BengaluruIndia
  3. 3.Department of Computer Science and EngineeringKPR Institute of Engineering and TechnologyCoimbatoreIndia

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