Hybrid Data Compression System In Smart E-Health Gateway For Medical Monitoring Applications

International Journal of Computer Science and Engineering
© 2020 by SSRG - IJCSE Journal
Volume 7 Issue 1
Year of Publication : 2020
Authors : Mezui Eya’a Guy Lysmos, Dr.Mostafa Hanoune

How to Cite?

Mezui Eya’a Guy Lysmos, Dr.Mostafa Hanoune, "Hybrid Data Compression System In Smart E-Health Gateway For Medical Monitoring Applications," SSRG International Journal of Computer Science and Engineering , vol. 7,  no. 1, pp. 1-6, 2020. Crossref, https://doi.org/10.14445/23488387/IJCSE-V7I1P101


161 millions healthcare devices will be connected by 2020 worldwide [1], which represents a real big data challenge, to store and process all medical data with the necessary historical depth. This is why we operate strategically in this article, one of the main services of the smart gateway, which is data compression to implement a hybrid data compression system for medical surveillance applications. It is by considering many challenges, both in terms of energy efficiency and security, which we effectively deal with the flow of data in real time [2].

The successful implementation of this hybrid data compression system in our smart gateway not only reduces the space required for data storage, but also accelerates lossless data transfer over the network and to the disk. In addition, the system has a model for automatic and intelligent recognition and classification of data sources according to the data structure and the original format.

However, a use case of lossless data compression algorithms was applied to assess the performance of the hybrid system. In addition, a comparative study of metric parameters for data compression was carried out to highlight the advantages and limitations of this system. Our design demonstrates an advanced IoT data processing system for medical and health monitoring, based on an improved global approach to advanced data compression methods [3].


Internet of things, healthcare, data processing, data compression, Smart Gateway, Lossless algorithms.


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