A review of internet of medical things (IoMT) - based remote health monitoring through wearable sensors: a case study for diabetic patients

The latest advances and trends in information technology and communication have a vital role in healthcare industries. Theses advancements led to the internet of medical things (IoMT) which provides a continuous, remote and real-time monitoring of patients. The IoMT architectures still face many cha...

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Main Authors: AlShorman, Omar (Author), AlShorman, Buthaynah (Author), Al-khassaweneh, Mahmood (Author), Alkahtani, Fahad (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2020-10-01.
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100 1 0 |a AlShorman, Omar  |e author 
100 1 0 |e contributor 
700 1 0 |a AlShorman, Buthaynah  |e author 
700 1 0 |a Al-khassaweneh, Mahmood  |e author 
700 1 0 |a Alkahtani, Fahad  |e author 
245 0 0 |a A review of internet of medical things (IoMT) - based remote health monitoring through wearable sensors: a case study for diabetic patients 
260 |b Institute of Advanced Engineering and Science,   |c 2020-10-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/22069 
520 |a The latest advances and trends in information technology and communication have a vital role in healthcare industries. Theses advancements led to the internet of medical things (IoMT) which provides a continuous, remote and real-time monitoring of patients. The IoMT architectures still face many challenges related to the bandwidth, communication protocols, big data and data volume, flexibility, reliability, data management, data acquisition, data processing and analytics availability, cost effectiveness, data security and privacy, and energy efficiency. The goal of this paper is to find feasible solutions to enhance the healthcare living facilities using remote health monitoring (RHM) and IoMT. In addition, the enhancement of the prevention, prognosis, diagnosis and treatment abilities using IoMT and RHM is also discussed. A case study of monitoring the vital signs of diabetic patients using real-time data processing and IoMT is also presented.  
540 |a Copyright (c) 2020 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690 |a IoT; Informatics; Healthcare monitoring; Sensors 
690 |a Diabetic; Internet of medical things; Medical information; Remote health monitoring; Sensors 
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786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 20, No 1: October 2020; 414-422 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v20.i1 
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