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Effective Prognosis Using Wireless Multi-sensors for Remote Healthcare Service

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eHealth 360°

Abstract

Remote healthcare delivery is one of the most promising solutions to tackle global trends in falling health care access and quality of service. A wireless network of sensors, IoT devices, and cloud is presented here. New innovative algorithms for effective prognosis are designed and developed based on motifs and profile matrices. The system consisting of the sensor network and algorithms together enable delivering remote healthcare services.

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References

  1. Chiu, B., Keogh, E., Lonardi, S.: Probabilistic discovery of time series motifs. In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 493–498. ACM (2003)

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  2. Lonardi, J., Patel, P.: Finding motifs in time series. In: Proceedings of the 2nd Workshop on Temporal Data Mining, pp. 53–68 (2002)

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  3. Hajihashemi, Z., Popescu, M.: Early illness recognition using frequent motif discovery. In: Proceedings of Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3699–3702. IEEE (2015)

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Author information

Authors and Affiliations

  1. Amrita Center for Wireless Networks and Applications, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India

    Rahul Krishnan Pathinarupothi

  2. School of Medicine, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Kochi, India

    Ekanath Rangan

Authors
  1. Rahul Krishnan Pathinarupothi
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  2. Ekanath Rangan
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Corresponding author

Correspondence to Rahul Krishnan Pathinarupothi .

Editor information

Editors and Affiliations

  1. Applied Informatics in mHealth, National Technical University of Athens, Zografou, Greece

    Kostas Giokas

  2. Budapest University of Technology, Budapest, Hungary

    Laszlo Bokor

  3. University of Glasgow, Glaswow, United Kingdom

    Frank Hopfgartner

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Pathinarupothi, R.K., Rangan, E. (2017). Effective Prognosis Using Wireless Multi-sensors for Remote Healthcare Service. In: Giokas, K., Bokor, L., Hopfgartner, F. (eds) eHealth 360°. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-319-49655-9_27

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  • DOI: https://doi.org/10.1007/978-3-319-49655-9_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49654-2

  • Online ISBN: 978-3-319-49655-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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