Real-Time Remote Health Monitoring System Driven by 5G MEC-IoT

Zhang, Yangan; Chen, Guichen; Du, Hang; Yuan, Xueguang; Kadoch, Michel; Cheriet, Mohamed

doi:10.3390/electronics9111753

Cited by 52 publications

(20 citation statements)

References 29 publications

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“…The security threats are critical in the delivery of an effective means through which the devices and systems are supposed to work. Security is important especially when a device is known to be of a high value [38]. The patient has to be careful with such a device because it can attract people who may want to take it away due to its value.…”

Section: A Challenges Of Iot In Healthcarementioning

confidence: 99%

Challenges Facing the Application of IoT in Medicine and Healthcare

Khan

2021

Int. J. CIM

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Among all the functions of the Internet of Things, healthcare applications are the most important. The internet of Things has played a vital role in the sharing of various medical resources making it an essential factor in the field of medicine. Without the applications, it may become challenging for the medical practice to achieve some objectives. Today, information is shared freely across different networks, making it easy for practitioners and institutions to work with the available resources and deliver on the medical needs of the society. IoT has made it possible to offer smart and effective healthcare services to people. The application of smart sensors is one of the factors that has contributed to effective management of healthcare needs in the society. Wearable devices can be used to track different issues within the body. Some can be embedded to monitor different functions of the body to ensure there is effectiveness in the way medical services are delivered to such patients. The information collected in such manner, can be analyzed, aggregated and mined to do the early prediction of diseases. Processing algorithms play a vital role in helping practitioners in developing personalized treatment, which makes healthcare more economical. Apart from analyzing the effectiveness of IoT in healthcare, challenges will be discussed in this study and how they impact medicine.

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Section: A Challenges Of Iot In Healthcarementioning

confidence: 99%

Challenges Facing the Application of IoT in Medicine and Healthcare

Khan

2021

Int. J. CIM

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“…Critical IoT applications in the health sector will be potentiated with the advantages offered by 5G networks because they demand high reliability and low communication latency, being the uRLLC scenario appropriate for the sensitive registration of vital signs information collected by devices used for patients [165,[175][176][177].…”

Section: Healthmentioning

confidence: 99%

Projections of IoT Applications in Colombia Using 5G Wireless Networks

Barrios-Ulloa

Cama-Pinto

Mardini-Bovea

et al. 2021

Sensors

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Wireless technologies are increasingly relevant in different activities and lines of the economy, as well as in the daily life of people and companies. The advent of fifth generation networks (5G) implies a promising synergy with the Internet of Things (IoT), allowing for more automations in production processes and an increase in the efficiency of information transmission, managing to improve the efficiency in decision-making through tools such as big data and artificial intelligence. This article presents a description of the 5G implementation process in Colombia, as well as a revision of opportunities when combining with IoT in featured sectors of the departmental development plans, such as agriculture, tourism, health, the environment, and industry. Results shows that the startup of 5G in Colombia has been a slow process, but there are comparisons with similar procedures in other developed countries. Additionally, we present examples of 5G and IoT applications which can be promoted in Colombia, aimed at improving the quality of life of their habitants and promoting economic development.

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“…Sensors are used to monitor patient symptoms and help to manage a patient's health condition. IoT in every aspect of the healthcare industry is increasing day by day [19]. It is challenging to diagnose COVID-19 based on symptoms with similar diseases like flu, cough, fever, etc.…”

Section: Introductionmentioning

confidence: 99%

Disease Diagnosis System Using IoT Empowered with Fuzzy Inference System

Alam¹,

Shaukat²,

Khelifi³

et al. 2022

Computers, Materials &Amp; Continua

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Disease diagnosis is a challenging task due to a large number of associated factors. Uncertainty in the diagnosis process arises from inaccuracy in patient attributes, missing data, and limitation in the medical expert's ability to define cause and effect relationships when there are multiple interrelated variables. This paper aims to demonstrate an integrated view of deploying smart disease diagnosis using the Internet of Things (IoT) empowered by the fuzzy inference system (FIS) to diagnose various diseases. The Fuzzy System is one of the best systems to diagnose medical conditions because every disease diagnosis involves many uncertainties, and fuzzy logic is the best way to handle uncertainties. Our proposed system differentiates new cases provided symptoms of the disease. Generally, it becomes a time-sensitive task to discriminate symptomatic diseases. The proposed system can track symptoms firmly to diagnose diseases through IoT and FIS smartly and efficiently. Different coefficients have been employed to predict and compute the identified disease's severity for each sign of disease. This study aims to differentiate and diagnose COVID-19, Typhoid, Malaria, and Pneumonia. This study used the FIS method to figure out the disease over the use of given data related to correlating with input symptoms. MATLAB tool is utilised for the implementation of FIS. Fuzzy procedure on the aforementioned given data presents that affectionate disease can derive from the symptoms. The results of our proposed method proved that FIS could be utilised for the diagnosis of other diseases. This study may assist doctors, patients, medical practitioners, and other healthcare professionals in early diagnosis and better treat diseases.

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Real-Time Remote Health Monitoring System Driven by 5G MEC-IoT

Cited by 52 publications

References 29 publications

Challenges Facing the Application of IoT in Medicine and Healthcare

Challenges Facing the Application of IoT in Medicine and Healthcare

Projections of IoT Applications in Colombia Using 5G Wireless Networks

Disease Diagnosis System Using IoT Empowered with Fuzzy Inference System

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