Title: IoT-based intensive care secure framework for patient monitoring and tracking

Authors: Lamia Nabil Omran; Kadry Ali Ezzat; Alaa Bayoumi; Ashraf Darwich; Aboul Ella Hassanien

Addresses: Higher Technological Institute, Biomedical Engineering Department, 10th of Ramadan City, Egypt; Scientific Research Group (SRGE), Cairo, Egypt ' Higher Technological Institute, Biomedical Engineering Department, 10th of Ramadan City, Egypt; Scientific Research Group (SRGE), Cairo, Egypt ' Faculty of Computer and Informatics, Suez Canal University, Ismailia, Egypt; Scientific Research Group (SRGE), Cairo, Egypt ' Faculty of Science, Helwan University, Cairo, Egypt; Scientific Research Group (SRGE), Cairo, Egypt ' Scientific Research Group (SRGE), Cairo, Egypt

Abstract: This paper aims to design a prototype of the real-time patient control system. The proposed framework is used to quantify the physical parameters of the patient such as the temperature of the body, rate of heartbeat and ECG observation with the assistance of sensors. The collected data is sent to the cloud, then to the nurse station, specialist and the patient tablet or the web application. In this framework, the patient's health is checked consistently and the data obtained through the networks are transmitted. If any irregularity is noticed from the patient's signs, it will be sent to nurses and doctors for any suggestions to help the patient. The system is implemented through Arduino advanced controller and simulation results are obtained. The Smart Intensive Care Unit (SICU) provides a new way for health monitoring of patients in order to improve healthcare systems and patients' care and safety. The cloud system is provided by a group of micro-services hosted in many servers the simulate a small cloud system. To secure the patient's data through this framework is provided by using OAuth server to authenticate the users and the sensors and generate the tokens. This system can assist doctors and nurses to achieve their missions and improve the healthcare system.

Keywords: intensive care unit; IoT; internet of things; patient health monitoring; cloud; Arduino; security.

DOI: 10.1504/IJGUC.2019.102017

International Journal of Grid and Utility Computing, 2019 Vol.10 No.5, pp.475 - 487

Received: 02 Nov 2018
Accepted: 14 Dec 2018
Published online: 03 Sep 2019 *

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