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Received February 20, 2020, accepted August 28, 2020, date of publication November 9, 2020

Modeling an Integrated Network for Remote Patient 
Monitoring, Based on the Internet of Things for a More 
Preventive and Predictive Health System in West Africa 

By M. H. Ahouandjinou1,2, D. Medenou1,2, L. Pecchia3, R. C. Houessouvo1,2, T. R. Jossou1,2   

1 Département de Génie Biomédical, Ecole Polytechnique d’Abomey-Calavi (Department of Biomedical Engineering, Ecole Polytechnique 
d’Abomey-Calavi)
2 Laboratoire d’Electrotechnique de Télécommunications et d’Informatique Appliquée, Ecole Polytechnique d’Abomey-Calavi (Electrotechnical 
Laboratory of Telecommunication and Applied Informatics, Ecole Polytechnique) Université d’Abomey-Calavi, Benin (University of Abomey-
Calavi, Benin)
3 School of Engineering, University of Warwick, Coventry, CV4 7AL, UK.

ABSTRACT
Background: As a result of globalization it is important to examine health systems organization in Africa to highlight the failures 
and propose possible solutions in terms of patient care. 
Objective: Modeling was based on the Internet of Things (IoT) an Integrated Network for Monitoring Patient Data in West 
African Health Systems. 
Methodology: To achieve the objective three steps were followed. (1) Identification of the different characteristics of IoT-based 
health surveillance systems, Wireless Body Area Network (WBAN) systems, and the physiological parameters that are monitor-
able on a patient. (2) The modeling of the architecture of West African health systems in the form of a cloud of technocenters. 
(3) Cross analysis between different IoT technologies, characteristics, and identification of any functional requirements. All this 
was based on wireless medical sensor networks in the WBAN systems. 
Result: This work has been used to model health systems in Africa as a remote monitoring network for patients. 
Conclusion: The implementation of this model of monitoring networks will be a tool to support large-scale decision-making 
for health systems in Africa. It will enable an information database for the West African health system.
Keywords – Modeling, Integrated Network, Internet of Things, health system, Technocentre.

Copyright © 2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY): Creative Commons - Attribu-
tion 4.0 International - CC BY 4.0. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) 
are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is 
permitted which does not comply with these terms.

RÉSUMÉ
Contexte: Du fait de la globalisation des systèmes sanitaires, il est important d’examiner l’organisation des systèmes de santé en 
Afrique, sous l’angle de prise en charge des patients, pour mettre en évidence les défaillances et proposer des pistes de solutions. 
Objectif: Modéliser à base de l’internet des objets (IoT) un Réseau Intégré de Monitoring de données des patients dans les sys-
tèmes sanitaire de l’Afrique de l’ouest. 

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Ahouandjinou, Medenou, Pecchia, Houessouvo, Jossou: Modeling an Integrated Network for Remote Patient 
Monitoring, Based on the Internet of Things for a More Preventive and Predictive Health System in West Africa 

21 J Global Clinical Engineering Vol.3 Issue 2: 2020J Global Clinical Engineering Vol.3 Issue 2: 2020  20

Ahouandjinou, Medenou, Pecchia, Houessouvo, Jossou: Modeling an Integrated Network for Remote Patient 
Monitoring, Based on the Internet of Things for a More Preventive and Predictive Health System in West Africa 

This review of the literature revealed that the chal-
lenges of health surveillance are very topical. Most of the 
work has not been in favor of a particular health system 
from a country, region, or area depending on its configu-
ration but has shown there is an opportunity presented 
by technological progress to aid in monitoring several 
aspects of a patient's state of health including managing 
patient data,1,2 WBAN networks and architecture, secu-
rity in health data management systems and many other 
areas.3,4 All of militated in favor of the results obtained. 

RELATED WORK
A total of 128 articles between 2010 and 2019 were 

found, with an emphasis on research between 2014 and 
2016. The 128 articles were then sorted to rank those that 
best met the criteria of research. In the end, 34 articles 
were excluded and 94 were included as the subject of our 
study. The results are shown in Table 1.

The IoT is of great potential interest for medical appli-
cations and healthcare. Many technologies are related to 
IoT. Technologies such as wireless medical body sensors, 
advanced healthcare systems, wearable sensors, cloud-
based platform for wireless transfer, storage, and display 
of clinical data (see Table 2, in appendix) carry particular 
interest. In conclusion, we note that the challenges of any 
medical surveillance system lie in the proper design of 
the network architecture. In light of this, our work aims to 

model an integrated patient monitoring network (RIMP) 
in the West African health system, based on the IoT. This 
article presents the methodology adopted for the work, 
the results obtained, and the analysis, discussion, and 
perspectives envisaged.

RESULTS
Despite the specificities observed in each country, 

the health pyramid of West African countries generally 
includes first-level structures (dispensaries, health huts, 
etc.), so-called reference structures (general hospital), 
specialized structures (dedicated to a disability or ill-
ness), and university hospitals. In principle, so-called 
primary health care is the foundation of health systems, 
whose national health development programs (PNDS) 
stipulate that the structures responsible for it must cover 
n thousands of inhabitants in a given geographical area 
[Org]. Such a health pyramid has enormous advantages 
for mastering health data from scratch when it comes to 
diagnosis and care, so it has a modern remote monitoring 
architecture. For better monitoring of patients in African 
health systems, we propose an architecture integrating the 
different levels of each health system facilitated by a cloud 
of technocentres from remote monitoring networks. This 
would include surveillance centers allowing centralized 
accessible health information.

IoT Architecture of an Integrated Patient 
Monitoring Network

Several physiological parameters can be monitored 
Sixteen different groups of physiological parameters can 
be monitored using IoT sensors placed at 17 different 
locations on the patient’s body.5 Figure 1 shows an out-
line of some of the physiological parameters ([A] blood 
pressure, [B] electrocardiogram, [C] pulse oximeter, [D] 
electromyogram, [E] inertia).

The IoT architecture of the Integrated Patient Moni-
toring Network shows the interaction of the different IoT 
components of our system and its network and computer 
technologies. The different IoTs in this architecture in-
clude intelligent medical sensors of different sizes and 
types that monitor patient health parameters and also 
process and record the raw data from the sensors. The 
transceiver modules of the medical sensors communicate 
with the base stations via a wireless interface. The most 

INTRODUCTION
The current challenges and goals of information and 

communication technologies (ICTs) are to provide effec-
tive and efficient healthcare. One of the latest advances 
in ICTs is the Internet of Things (IoT) providing global 
connectivity and management of sensors, devices, users, 
and information. The IoT concept provides the ability to 
search for information about a tagged object or person 
by browsing Internet addresses or a database entry that 
matches a particular active Radio Frequency Identifica-
tion (RFID) with a detection function. In the last decade, 
wireless medical sensors, smartphones, and other mobile 
devices have attracted growing interest as tools that can 
be used for personal healthcare, and monitoring activities 
and physical condition.

Some research has been done on the clinical applications 
of these technologies in remote healthcare surveillance 
architectures for long-term management, registration, 
and clinical access to patient physiological information 

Based on these current technological advancements, 
it is easier to plan or schedule your physical examination, 
which is preceded by a period of a few days of continuous 
monitoring of your physiological state with less expensive 
wireless medical sensors. During this monitoring, wireless 
medical devices continually record signals correlating 
with the patient’s important physiological parameters 
and sends them to a database of medical records. This 
scenario allows the medical professional (doctor and 
other) to have more information about the patient’s 
state of health before the next appointment. Using this 
information and making it available to health profession-
als who also have access to a vast body of observational 
data for other individuals, the medical professional can 
make a better diagnosis and recommend appropriate 

treatment regarding early intervention and particularly 
effective lifestyle changes that can improve the patient’s 
quality of health. These technological advances have a 
transformative impact on global health systems by dra-
matically reducing health costs and improving the speed 
and accuracy of diagnostics.

The vision presented previously from the technological 
point of view has been available for some years now in 
several sanitary systems around the world not within the 
African health systems and especially West Africa despite 
the technology already on hand. The West African health 
system presents for the most part the same configuration 
and structuring inherited from their time as colonies. 

In this article, we are particularly interested in modeling 
an architecture that takes into account the current struc-
ture of West African health systems while implementing 
the healthcare surveillance architecture.

METHODOLOGY
It is very important to choose the appropriate techniques 

and methods in the literature search and data analysis. To 
ensure the integrity of the data, the means used to perform 
the analysis will depend on the information provided by 
the various search engines such as Google Scholar and 
scientific databases such as PubMed, Wiley, NCBI, IEEE 
Xplore, Scopus, and Web of Science. Google Scholar and 
IEEE Xplore are the two most used in our research.

The keywords used for data collection were: "IoT and 
Health Surveillance", "Internet of Things and Health Sys-
tem", "Remote Patient Monitoring with IoT". These three 
combinations of keywords were used on Google Scholar 
for the documentary review.

Méthodologie: Pour y parvenir, trois étapes ont été suivies. (1) Le recensement les différents caractéristiques des systèmes 
de surveillance sanitaires basés sur IoT, des systèmes Wireless Body Area Network (WBAN) et les paramètres physiologiques 
monitorables sur un patient. (2) La modélisation de l’architecture des systèmes sanitaires ouest-africain sous forme d’un nuage 
de Technocentres. (3) L’analyse croisée entre les différentes technologies de l’IoT, les caractéristiques et les exigences fonction-
nelles identifiées. Tout ceci en se basant sur des réseaux de capteurs sans fil médicaux dans les systèmes WBAN. 
Résultat: Ce travail a modélisé les systèmes sanitaires d’Afrique comme réseau de monitoring de données des patients.
Conclusion: La mise en œuvre de ce modèle de réseaux de monitoring consistera un outil d’aide à la prise de décision de grande 
envergure pour un système sanitaire en Afrique. Il permettra au système sanitaire ouest africain de disposer d’une banque de 
données d’information. 
Mots-clés  –  Modélisation, Réseau Intégré, Internet des objets, Système de santé, Technocentre.

TABLE 1. 

Year Number of articles found 
per year

Number of articles 
excluded per year

2010 3 0

2011 4 0

2012 3 1

2013 3 0

2014 27 2

2015 37 1

2016 29 18

2017 19 12

2018 2 0

2019 1 0

TOTAL 128 34



Ahouandjinou, Medenou, Pecchia, Houessouvo, Jossou: Modeling an Integrated Network for Remote Patient 
Monitoring, Based on the Internet of Things for a More Preventive and Predictive Health System in West Africa 

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Ahouandjinou, Medenou, Pecchia, Houessouvo, Jossou: Modeling an Integrated Network for Remote Patient 
Monitoring, Based on the Internet of Things for a More Preventive and Predictive Health System in West Africa 

make it possible to know any health antecedent of a patient 
wherever they are. This multifunctional health card will 
also allow the payment of the patient's health services 
since it integrates a virtual account. The patient's localiza-
tion feature will be integrated with the patient's CISU-P 
card to find it through GPS on an integrated platform. This 
feature will allow a patient's hospitalization to be known 
in real time. More interesting in this architecture is that 
the position of the patient is known even outside of the 
hospital in real time as long as they have the health card 
on them. The architecture of the platform integrates all 
the entities (surgery, medicine, emergency, laboratory ...) 
of the hospital so that the patient record can be seen by 
all (except for any access restrictions added as required).

DISCUSSION
Faced with the challenges of the West African health 

systems and in particular, the Beninese health system, 
which are (i) to provide quality health care to a grow-
ing population, (ii) to optimize the availability of health 
care personnel, and (iii) to utilize patient health data in a 
more predictive health system; we proposed in this work 
an integrated IoT architecture for patient monitoring 
and the functional architecture of the hospital platform 
whose implementation could revolutionize the West Af-
rican health systems in general and Benin in particular. 
The implementation of this solution would go through 
several stages: first, choosing a health zone in Benin 
that has village, district, and communal health centers, 
departmental hospitals, and university hospitals. Once the 
expected positive results in this first zone were confirmed 
we would consider the extension of the architecture to 
other health zones. 

Constraints of WBAN networks (i.e., scalability, qual-
ity of service [QoS], energy consumption, wireless tech-
nology) will have to be taken into account.6,7 There is a 
large amount of work in the literature that deals with 
the application of WBANs in a healthcare setting.8,9 This 
research outlines the characteristics and requirements 
of the medical application of WBANs as well as the char-
acteristics and design factors. 

Another consideration in the design of WBAN networks 
involves security requirements (WBAN and traditional 
networks have the same security requirements).10,11 

However, this does not present a functional issue for the 

architecture of the hospital platform, which is the focus of 
our work. Moreover, we can see that the multitude of work 
in the literature does not consider a global architecture of 
a health system but often speaks of service architecture, 
while at the security level the security of patient and 
billing data will be considered when implementing the 
proposed solutions. Security threats or attacks, such as 
modifying and eavesdropping on medical data, detecting 
and locating activities, and hacking into security systems 
and alarms, can occur and must be taken into account.10,11 

Also, data flow and network capacity are also among the 
parameters that have an impact on system performance. In 
this scenario, the choice of high-speed wireless technology 
offers advantages to meet the scalability of the network 
and increase the number of people being monitored. On 
the other hand, other technologies allow for lower power 
consumption, but have higher delays (production) and/
or lower transfer rates. The technology chosen will there-
fore be a compromise between throughput and energy 
consumption. As several technologies are used in patient 
monitoring architectures to provide multiple services9,12 
we started to identify all technologies used within the 
different services. On this basis, our work extends this 
knowledge by proposing the essential characteristics of 
any monitoring system adapted to the Beninese health 
system as well as the different possible positions where 
the sensors could be placed on a patient's body as men-
tioned in our previous work.5,13

CONCLUSION
In this work, we modeled West African health systems 

by proposing an IoT architecture for patient monitoring and 
the functional architecture of the hospital platform. This 
model incorporates the CIUS-P which allows the patient 
information to be available in all areas across the West 
African health system. This architecture will allow the West 
African health system to respond to health challenges and 
provide data for better health forecasting. Future work 
will allow this architecture to be implemented in Benin to 
analyze its effect and any limitations. The implementation 
will occur through the choice of a health zone in Benin 
and take advantage of the unique identification database 
of the population set up, the project to interconnect all 
the health systems in Benin, the national data center, and 

powerful base stations will act as data aggregators, well 
nodes, or gateways to servers. The different IoT Gateways 
work with the different types of devices and associated 
network protocols to provide overall connectivity.

The integrated IoT patient monitoring architecture 
is made up of several levels. The first level is the IoT 
sensor level, which fits the patient with several sensors 
to measure the desired physiological parameters (EMG, 
ECG, blood pressure, heart rate...). The second level of 
the architecture shows the connectivity elements. This 
level shows the symbols of the different communication 
networks used to route the data collected by the sensors 
to the treatment centers. Depending on the application, 
wifi, Bluetooth, or zigBee can be used to route measured 
physiological data to the sensor nodes and then to the treat-
ment centers called here technocenters. Technocenters are 
data processing centers available at all levels of the health 
system including those in village health centers, district 
health centers, communal health centers, departments, 
and zones at the national level. These technocentres are 
interconnected through a network. To allow different 
requests from users of the network including healthcare 
providers, the healthcare administrator and the patients, 
we are implementing a DNS service so the users can suc-
cessfully request the data from the closest server with a 
different zone access from the internal and external us-
ers of the network. The patient’s personal digital devices 

(PDAs) will allow healthcare providers to capitalize on the 
capabilities in smartphones that patients already carry. 
Since these smartphones can be connected to the Internet 
through their GSM network, it would be enough to install 
eHealth applications allowing the patient’s phones to 
receive and send the necessary information to and from 
the treatment center. Recommendations could easily be 
made for these smartphones regarding their specific 
characteristics as needed.

Functional Architecture of the Hospital Platform 
We propose the functional architecture of the hospital's 

platform detailed in Figure 2 to enable the West African 
health system to monitor patients effectively.

The functional architecture of the hospital platform 
that we propose takes into account several aspects for the 
monitoring and the traceability of the patient inside and 
outside the hospital. We propose the use of the Country 
Unique Patient Health Identification (CIUS-P) for patients 
in the West African health system. This will allow a patient 
in Benin or any other African country to have a unique 
identity card from his country of origin. This new health 
card will make it possible for any hospital in the African 
health system to have access to the patient file and will 

FIGURE 1. IoT architecture of an integrated patient monitor-
ing network.

FIGURE 2. Functional architecture of the hospital platform.



Ahouandjinou, Medenou, Pecchia, Houessouvo, Jossou: Modeling an Integrated Network for Remote Patient 
Monitoring, Based on the Internet of Things for a More Preventive and Predictive Health System in West Africa 

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Ahouandjinou, Medenou, Pecchia, Houessouvo, Jossou: Modeling an Integrated Network for Remote Patient 
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the availability of the GPRS network of GSM networks in 
the various health zones in Benin.

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Ahouandjinou, Medenou, Pecchia, Houessouvo, Jossou: Modeling an Integrated Network for Remote Patient 
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Ahouandjinou, Medenou, Pecchia, Houessouvo, Jossou: Modeling an Integrated Network for Remote Patient 
Monitoring, Based on the Internet of Things for a More Preventive and Predictive Health System in West Africa 

APPENDIX
TABLE 2. 

N° Ref. Aspect covered

1 [14] 
Put in place a solution to address drug issues based on IoT technologies like smartphones and the Web 
to support ubiquitous access, 6LoWPAN technology for ubiquitous patient data collection, sensors and 

hospitals, RFID / NFC (Near Field Communication) and barcode identification technologies.

2 [15] Propose IoT Communication Framework as Primary Tool for Healthcare Applications Spread Around the 
World. They presented the IoT protocol stack and the benefits it brings to health care scenarios.

3 [16] Proposed a cooperative approach of IoT to improve the monitoring and control the health of rural and 
poor human health parameters.

4 [17] Analyze the possibility and related issues of providing advanced services for human health management in 
the real world of medical technology on IoT.

5 [18] Shows an overview of the challenges and opportunities of IoT.

6 [19]
Present a prototype of a cloud-based system, compliant with the IoT concept. Including those related to the 
authentication of entities and data confidentiality. The proposed system manages the data collected by the 

portable sensors and transmitted them to a gateway using cloud infrastructure techniques.

7 [20] Worked on interoperability and security issues related to the limitations of devices used in the IoT, 
preventing their proper use in health systems.

8 [21] Presents with a cloud-centric vision for the global implementation of the IoT. The authors' work allowed to 
make a cloud implementation using Aneka, based on the interaction of private and public Clouds

9 [22]
Showed how RFID, multi-agent technologies and the IoT can be used to allow people access to affordable 
and quality health services. The authors show that using the IoT and multi-agent technologies can reduce 

medical errors, improve patient safety, and optimize healthcare processes.

10 [23] Presents an ontology-based design methodology for intelligent reeducation systems in IoT.

11 [24] Worked on home health services based on the IoT. They proposed a smart home platform, named iHome 
Health-IoT.

12 [25]
Presented a mobile home health system (mHealth) for wheelchair users, based on emerging technologies of 
the IoT. The authors focused on the proposed system architecture and the design of Wireless Body Sensor 

Networks (WBSN). 

13 [26] Review the current research on the IoT, generic key technologies, key IoT applications in industries, and 
identify trends and challenges in research.

14 [27] Structured in this work a review of the state of the art on IoT by bringing out its history, the different 
technologies of IoT and its different applications.

15 [28] Present a novel architecture model for IoT with the help of Semantic Fusion Model (SFM).

16 [29] Present H3IoT, a new architectural framework for a home health center based on the Internet of Things, 
which aims to monitor the health of elderly people at home.

17

[30] Present the integrated services that are part of a ubiquitous health system that enables automated and 
intelligent monitoring and utilizing IP and Internet connectivity for end-to-end communication.

18 [31] Present the definitions, architecture, fundamental technologies, and applications of IoT. Various definitions 
of IoT are introduced, emerging techniques for the implementation of IoT are discussed.

N° Ref. Aspect covered

19 [32] Worked on self-care through IoT through personal health devices. By introducing the collaborative 
protocol that transfers risk factors between IoT personal health devices.

20 [33] Worked on data security and confidentiality in the healthcare sector given the increasing data growth in 
this sector.

21 [34] Examined the applications of IoT in personalized health care to obtain excellent health care at affordable 
costs through detection and wireless techniques.

22 [35] Worked on the concept, the architectural components of the wearable IoT because of their detection and 
communication capabilities.

23 [36] Worked on the energy efficiency in the architectures of the IoT in exploiting the advantages related to the 
standard POE (Power over Ethernet).

24 [37] Worked on an IoT architecture and system implementation for health applications to offer a simple and 
economical way to analyze and monitor health data in real time.

25 [38] Worked on the security and confidentiality of tracking physical conditions through portable connected 
objects.

26 [39] Have worked on the different opportunities and challenges of IoT.

27 [40] Worked on the development of a general architecture for IoT-based health care systems to ensure and 
increase patient safety, quality of life, and other health care activities.

28  [41] Worked on the use of RFID for personal health care based on the IoT.

29 [42] Secure medical data transmission model in health systems based on IoT.

30 [43] IoT and Big Data for intelligent healthcare, individualized telehealth to enable healthier lifestyles.

31 [44] Operation of the gateway between the network of medical sensors and the Internet in a health care 
surveillance system to offer several services.

32 [45] A semantic interoperability model for Big Data in the IoT.

33 [46] IoT architecture to identify and control the Chikungunya virus.

34 [47] a reliable IoT architecture based on oneM2M for personal healthcare devices

35 [48] IoT-based healthcare surveillance architecture to move to proactive and preventive healthcare.

36 [49] WBAN sanl fil <Au: Please clarify sanl fil> network based on IoT for healthcare.

37  [50] Smart city cloud platform with IoT

38 [51] Three-level IoT architecture composed of the device layer, the fog layer, and the cloud layer.

39  [52]
A new architecture for health services based on ISO / IEEE 11073 on the IoT platform. The proposed 

architecture meets oneM2M and ISO / IEEE 11073. Standards with a stack of protocols for constrained 
healthcare devices on the BLE network.

40  [53]

A cooperative key establishment protocol to create a secure end-to-end connection for resource-limited 
sensor nodes with any remote server or entity. Security analysis and performance appraisals prove to be 
a considerable improvement in security as well as protocol resilience against known attacks and security 

breaches.

441   [54] A cloud-integrated Health IoT monitoring framework, where health data is watermarked before being sent 
to the cloud for secure, high-quality, health monitoring.

42  [55]
A new user-oriented world of IoT. In this world, users are empowered by their ability to control access 
to the data that has been knowingly or unknowingly generated and belongs to them. This data can be 

requested by other users and organizations to be analyzed collectively and potentially bring value to society.



Ahouandjinou, Medenou, Pecchia, Houessouvo, Jossou: Modeling an Integrated Network for Remote Patient 
Monitoring, Based on the Internet of Things for a More Preventive and Predictive Health System in West Africa 

31 J Global Clinical Engineering Vol.3 Issue 2: 2020J Global Clinical Engineering Vol.3 Issue 2: 2020  30

Ahouandjinou, Medenou, Pecchia, Houessouvo, Jossou: Modeling an Integrated Network for Remote Patient 
Monitoring, Based on the Internet of Things for a More Preventive and Predictive Health System in West Africa 

N° Ref. Aspect covered

43  [56]
security and confidentiality issues in health applications using the body sensor network (BSN). They 
proposed an IoT-based secure health system using BSN, called BSN-Care, which can effectively meet 

various security requirements of the BSN-based health system.

44   [57]

An IoT system capable of improving assistance requests and the detection of anomalies in an ALF <AU: 
Please expand ALF> using portable devices. With this healthcare support system, caregivers can be 

automatically alerted to potentially dangerous situations that occur to residents while they are out of sight. 
The system design focused mainly on portability and ubiquity.

45   [58]

An IoT H2U predictive health care system to provide early treatment and detect danger signs early enough 
to avoid the need for hospitalization. Hospital stay is minimized and doctors and nurses can be connected 
and monitor patients based on the report generated by the sensors in real time and daily clinical updates 

by the patient on the base server of data. Interaction via this IoT system is quite profitable and guarantees a 
higher level of security in terms of communication.

46   [59]
Exploited the concept of self-awareness to create a personalized EWS Alert Score System<AU: Please 

expand EWS> based on the IoT. The system is designed to be adaptive in various situations and to be able 
to be automatically personalized according to the needs of the patient.

47  [60]
The use of the Internet of Things for the efficiency of the health system by exploring the challenges of these 
systems. Their work provided an architecture / methodology for extracting information from health care 

data.

48   [61]
The use of the Internet of Things for the efficiency of the health system by exploring the challenges of these 

systems. Their work provided an architecture / methodology for extracting information from healthcare 
data.

49   [62]

Implementation of a data aggregation solution for interdisciplinary healthcare research after comparing the 
different existing IoT applications which focus mostly on the physical condition of people. They proposed 
the architecture for monitoring healthcare with multiple functions for the acquisition of bio-signals (EEG, 

EMG, ECG)

50  [63] Computer haze in the IoT in health surveillance systems by exploiting the concept of calculating fog with 
intelligent gateways applied to ECG signals. 

51  [64]
The security of private information in a health care information system using the Internet of Things. The 
authors have implemented an algorithm to secure health data. a prototype based on both software and 

hardware has also been implemented.

52  [65] Implementing a system for continuous monitoring of the EEG and other vital parameters using algorithms 
based on Raspberry pi. The Raspberry Pi is a small computer with an integrated microprocessor card.

53  [66] The different opportunities and benefits of using the IoT in remote health monitoring. the use of portable 
sensors is necessary to record data in various environments for health surveillance.

54  [67]
The security requirements of RFID authentication schemes for Internet of Things-based healthcare 

surveillance systems. The authors presented the overall architecture of the RFID-based authentication 
system and their requirements

55   [68]
The security of IoT-based health systems. They proposed a communication architecture based on sensors 
in health service systems integrating a secure authentication scheme and a protocol for the coexistence of 

multiple health systems operating under the technology of the IoT.

56  [69] implementation of the IoT in a hospital system using ZigBee which is a mesh protocol.

57  [70] The classification and structuring of IoT applications in healthcare. The results of the authors' work show 
that applications in the health of the IoT can be classified into three categories of systems.

58   [71] A new approach to the IoT with devices compatible with IoT thanks to the XMPP protocol.

N° Ref. Aspect covered

59  [72] Share the use of medical equipment used in a health service or office through the IoT. They proposed a 
personalized health service model that can be used in family or public offices.

60   [73] Health self-management systems for support. They proposed the establishment of a personal health 
monitoring system adapted to the needs of the user (Do-It-Yourself).

61  [74]
Medical data capture and confidentiality architectures. The work allowed the authors to develop an 

architecture of authentication and authorization that is secure and efficient for healthcare based on IoT 
while taking into account the constraints of the resources of medical sensors.

62 [75] Big Data technologies, IoT and complex event processing (CEP) and their importance in the healthcare 
system revolution.

63   [76] A remote health monitoring system based on IoT, after identifying the main network requirements and 
studying the CoAP, MQTT and HTTP protocols.

64  [77]
Smart gateways in e-health which is a transition point between the sensor and Internet networks. They 
proposed an intelligent e-health gateway between the sensor and the Internet for remote monitoring of 

health care.

65  [78]
An intelligent collaborative security model to minimize security risks; and propose how different 
innovations such as big data, ambient intelligence and portable devices can be used in healthcare 

establishments.

66  [79]
IT fog which is a new architecture for migrating certain tasks from the data center to the periphery of the 

server. The authors present the characteristics of fog computing and the services it can provide in the health 
system by ensuring low latency of applications in health services.

67   [80] The IoT remote healthcare monitoring system that provides patient status via a web browser using OS 
Contiki with the 6LoWPAN protocol.


