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Real time e-health system for continuous care

Published: 20 May 2014 Publication History

Abstract

Chrome diseases, such as heart disease, stroke, chronic respiratory disease and diabetes are the leading cause of mortality in the world. In this paper, we introduce a low cost, secure medical platform for mobile and desktop operating systems able to monitor vital parameters and predict a patient's health status. The prediction on the health evolution is made using an effective approach capable of processing big medical data by correlating the parameter trends with the current patient's state. The purpose of the system is to keep under control chronic-diseases and to transform the patient's life by assuring them the safety and permanent correct treatment they need. Although it can be regarded from many points of view, this paper is oriented towards the system description and components, big data analysis as well as some aspects regarding energy consumption and autonomy.

References

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Liang, X., Barua, M., Chen, L., Lu, R., Shen X., Li, X., and Luo, H. Y., 2012. Enabling pervasive healthcare through continuous remote health monitoring. IEEE Wireless Communications, vol. 19, no. 6, pp. 10--18, Dec. 2012.
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Ciorap, R., Corciova, C., Ciorap, M., and Zahana, D., 2011. Optimization of the treatment for chronic disease using an e-health system. In 2011 7th International Symposium on Advanced Topics in Electrical Engineering (ATEE), 2011, pp. 1--4.
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Chen, Y., Shen, W., Huo, H., and Xu, Y., 2010. A Smart Gateway for Health Care System Using Wireless Sensor Network. In 2010 Fourth International Conference on Sensor Technologies and Applications (SENSORCOMM), 2010, pp. 545--550.
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Deng, M., Petkovic, M., Nairn, M., and Barom, I., 2011. A Home Healthcare System in the Cloud--Addressing Security and Privacy Challenges. In 2011 IEEE International Conference on Cloud Computing (CLOUD), 2011, pp. 549--556.
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Jeong, S., Youn, C.-H., Shim, E. B., Kim, M., Cho, Y. M., and Peng, L., 2012. An integrated healthcare system for personalized chronic disease care in home-hospital environments. IEEE Trans Inf Technol Biomed, vol. 16, no. 4, pp. 572--585, Jul. 2012.
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http://www.cooking-hacks.com/ehealth-sensors-complete-kit-biometnc-medical-arduino-raspberry-pi
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Information & Contributors

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Published In

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PervasiveHealth '14: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare
May 2014
459 pages
ISBN:9781631900112

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ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)

Brussels, Belgium

Publication History

Published: 20 May 2014

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Author Tags

  1. chronic diseases
  2. cloud storage
  3. complex rules
  4. e-health
  5. future prediction
  6. immediate response
  7. permanent watch

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PervasiveHealth '14

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Overall Acceptance Rate 55 of 116 submissions, 47%

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