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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 8, 2021.
Abstract: Recently, wireless body area networks (WBANs) and mobile Internet of Things (IoT) have been greatly increased and integrated into a different type of systems such as electronic/mobile-healthcare (e/m-healthcare) systems. In addition, analyzing the composition of drugs or performing the medical rapid tests in the conditions field are the main tasks of the m-healthcare system, in which the traditional laboratory methods of analysis are not suitable. Therefore, in this study, we proposed a novel structure with a distributed e-health system to perform such analysis, where portable infrared micro spectrometers are utilized and then boundary calculations are applied. More specifically, this system is proposed to use a portable infrared micro spectrometer with a specially designed application connected to a public communication network, which can process the results of analysis using boundary calculations. Moreover, it provides remote processing and long-term storage of analysis data using artificial neural networks and cloud technologies. Finally, simulation results show that preprocessing (error checking), data buffering and Edge Computing can significantly reduce the network latency and volume of transferred data.
Maxim Zakharov, Alexander Paramonov, Ammar Muthanna and Ruslan Kirichek, “Prototype Design and Experimental Evaluation e-Healthcare System based on Molecular Analysis Devices” International Journal of Advanced Computer Science and Applications(IJACSA), 12(8), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120807
@article{Zakharov2021,
title = {Prototype Design and Experimental Evaluation e-Healthcare System based on Molecular Analysis Devices},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120807},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120807},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {8},
author = {Maxim Zakharov and Alexander Paramonov and Ammar Muthanna and Ruslan Kirichek}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.