Abstract
Chronic diseases, such as heart disease, stroke, chronic respiratory disease and diabetes are the major cause of death in the world. This paper aims at presenting a low cost, secure medical platform for mobile and desktop operating systems to monitor vital parameters, receive notifications when the pre-defined limits are out of range and foresee a patient’s health status. This system processes medical data effectively by correlating the parameter trends with the patient’s actual state to anticipate their health evolution. The purpose of the platform is to offer up-to-date information about chronic diseases in order to permanently ensure patients’ safety and adequate treatment. In a systemic approach, this chapter is a complement to a publication presented in the workshop of the 8th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth ‘14) [1]. Taking into consideration the previous work, we present a concrete scenario of how the system works, describe the system components, and discuss some aspects regarding energy consumption and autonomy.
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References
Fuicu, S., Marcu, M., Avramescu, A., Lascu, D., Padurariu, R.: Real time e-health system for continuous care. In: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth ‘14). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), ICST, Brussels, Belgium, pp. 436–439, Oldenburg, Germany, May 20–23 2014. doi:10.4108/icst.pervasivehealth.2014.255308
Lee, Y.-F.: Personal medical monitoring system: addressing interoperability. IT Prof. 15(5), 31–37 (2013)
Liang, X., Barua, M., Chen, L., Lu, R., Shen, X., Li, X., Luo, H.Y.: Enabling pervasive healthcare through continuous remote health monitoring. IEEE Wirel. Commun. 19(6), 10–18 (2012)
Ciorap, R., Corciova, C., Ciorap, M., Zaharia, D.: Optimization of the treatment for chronic disease using an e-health system. In: 2011 7th International Symposium on Advanced Topics in Electrical Engineering (ATEE), pp. 1–4 (2011)
Chen, Y., Shen, W., Huo, H., Xu, Y.: A smart gateway for health care system using wireless sensor network. In: 2010 Fourth International Conference on Sensor Technologies and Applications (SENSORCOMM), pp. 545–550 (2010)
Deng, M., Petkovic, M., Nalin, M., Baroni, I.: A home healthcare system in the cloud–addressing security and privacy challenges. In: 2011 IEEE International Conference on Cloud Computing (CLOUD), pp. 549–556 (2011)
Jeong, S., Youn, C.-H., Shim, E.B., Kim, M., Cho, Y.M., Peng, L.: An integrated healthcare system for personalized chronic disease care in home-hospital environments. IEEE Trans. Inf. Technol. Biomed. 16(4), 572–585 (2012)
http://www.cooking-hacks.com/ehealth-sensors-complete-kit-biometric-medical-arduino-raspberry-pi
Martin, E., Oriol, V., Gerald, F., Ruzena, B.: Precise indoor localization using smart phones. In: Proceedings of the International Conference on Multimedia, MM 2010, pp. 787–790. ACM, New York, NY, USA (2010). doi:10.1145/1873951.1874078
http://www.cra.org/ccc/files/docs/init/bigdatawhitepaper.pdf
Fuicu, S., Marcu, M., Avramescu, A., Lascu, D., Padurariu, R.: Real time e-health system for continuous care. In: The Proceedings of 8th International Conference on Pervasive Computing Technologies for Healthcare, Oldenburg, Germany, 20–23 May 2014
Marcu, M., Fuicu, S., Girban, A., Popa, M.: Experimental test cases for wireless positioning systems. In: International Conference on Computer as a Tool, EUROCON 2007, pp. 900–907, Warsaw, POLAND (2007)
Acknowledgement
This work was partially supported by the research grant CHIST-ERA/1/01.10.2012 – “GEMSCLAIM: GreenEr Mobile Systems by Cross LAyer Integrated energy Management”.
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Fuicu, S., Avramescu, A., Lascu, D., Padurariu, R., Marcu, M. (2015). Assistive E-Health Platform for Permanent Monitoring. In: Fardoun, H., R. Penichet, V., Alghazzawi, D. (eds) ICTs for Improving Patients Rehabilitation Research Techniques. REHAB 2014. Communications in Computer and Information Science, vol 515. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48645-0_4
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DOI: https://doi.org/10.1007/978-3-662-48645-0_4
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