Special Issue: Empowering eHealth with Smart Internet of Things (IoT) Medical Devices

Amira, Abbes; Agoulmine, Nazim; Bensaali, Fayçal; Bermak, Amine; Dimitrakopoulos, George

doi:10.3390/jsan8020033

Cited by 13 publications

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the help of a support vector machine (SVM), IoT medical devices can implement highly accurate and efficient tools for remote diagnosis and monitoring of patients with chronic diseases [21]. Another IoT-based medical device, developed in 2019 [22], continuously monitors the heart details of a patient by employing a high-order Boltzmann model. This model claims to provide high accuracy with less computation time.…”

Section: Prospect Of Iot In Wmdmentioning

confidence: 99%

“…As a result, most of the population will start to quickly adopt new wearable technologies, assisting in the sector continuous growth. More cutting-edge wearables than just activity trackers will be available in the future, and this research will lead a path to the advancement of these technologies [21][22][23][24][25][28][29][30][31][32][33][34][35][36][37]. Due to advancements in material fabrication that allow for the creation of flexible electronics and instantaneous charging of smaller power sources, wearables are already becoming smaller in size [40,41].…”

Section: Application Of Wmdsmentioning

confidence: 99%

See 1 more Smart Citation

Visualizing Wearable Medical Device Research Trends: A Co-occurrence Network-Based Bibliometric Analysis

Misra,

Roy,

Dey

et al. 2023

Galician med. j.

View full text Add to dashboard Cite

Background. One of the most crucial aspects of someone’s life is health. Therefore, individuals should be conscious about keeping themselves healthy by regular monitoring their health, which can be done with the help of modern medical technologies. Wearable medical devices using wearable sensors are the popular names of emerging technologies in the modern healthcare domain. Aim. This work presents the results of a systematic investigation of extensive research that has occurred for the last two decades in these research streams to provide a comprehensive mapping and temporal distribution of wireless medical device research. Methods. This study presents a relationship between the bibliographic items, their quality, and the quantity representing the most effective research topics on wearable medical devices. The analysis is performed using two useful parameters, namely a bibliometric network and a co-occurrence matrix. Data collection, data standardization, data mapping, and result analysis are the steps involved in the bibliometric analysis technique. In this study, VOSviewer software for bibliometric analysis is applied to the Scopus database. Results. By analysing bibliometric indicators from the Scopus database and using VOSviewer, we represent their distribution in countries, institutions, top researchers, and top journals. Furthermore, we analyse the co-citation of cited authors and the co-occurrence of keywords. The outcomes of the clustering and keyword analysis indicate that the research domain primarily focuses on the Internet of Things, machine learning, wearable sensors, mobile health, electrocardiogram, etc. Conclusions. Statistical investigation in association with the visual exploration presented in this article provides more substantial information than either of them used separately. In the future, this article can illuminate researchers and practitioners to develop a different theory to look at the factors that influence predictability in the research domain of wearable medical devices.

show abstract

Section: Prospect Of Iot In Wmdmentioning

confidence: 99%

Section: Application Of Wmdsmentioning

confidence: 99%

Visualizing Wearable Medical Device Research Trends: A Co-occurrence Network-Based Bibliometric Analysis

Misra,

Roy,

Dey

et al. 2023

Galician med. j.

View full text Add to dashboard Cite

show abstract

“…Fortunately, with IoT, remote consultation is efficient [ 76 , 77 , 78 ], and sensory devices play an important role in the recognition of vitals and symptoms [ 79 ]. Over the last two years, many e-health systems have been launched to provide proper care to patients across the globe [ 80 , 81 ].…”

Section: Fundamentals Of Internet Of Things-enabled Healthcare Systemsmentioning

confidence: 99%

A Survey of Authentication in Internet of Things-Enabled Healthcare Systems

Khan

Din

Majali

et al. 2022

Sensors

View full text Add to dashboard Cite

The Internet of medical things (IoMT) provides an ecosystem in which to connect humans, devices, sensors, and systems and improve healthcare services through modern technologies. The IoMT has been around for quite some time, and many architectures/systems have been proposed to exploit its true potential. Healthcare through the Internet of things (IoT) is envisioned to be efficient, accessible, and secure in all possible ways. Even though the personalized health service through IoT is not limited to time or location, many associated challenges have emerged at an exponential pace. With the rapid shift toward IoT-enabled healthcare systems, there is an extensive need to examine possible threats and propose countermeasures. Authentication is one of the key processes in a system’s security, where an individual, device, or another system is validated for its identity. This survey explores authentication techniques proposed for IoT-enabled healthcare systems. The exploration of the literature is categorized with respect to the technology deployment region, as in cloud, fog, and edge. A taxonomy of attacks, comprehensive analysis, and comparison of existing authentication techniques opens up possible future directions and paves the road ahead.

show abstract

“…In the modern era of Industry 4.0 and Smart Manufacturing, concepts and paradigms such as Cloud Computing and Internet of Things (IoT) are becoming more important by enabling innovations and advances in many domains [1][2][3]. As one of the recent examples, the cloud computing as a promising technological paradigm, plays a significant role in developing future large-scale complex smart cities applications [4].…”

Section: Introductionmentioning

confidence: 99%

Cloudlet Scheduling by Hybridized Monarch Butterfly Optimization Algorithm

Strumberger

Tuba

Bačanin

et al. 2019

JSAN

View full text Add to dashboard Cite

Cloud computing technology enables efficient utilization of available physical resources through the virtualization where different clients share the same underlying physical hardware infrastructure. By utilizing the cloud computing concept, distributed, scalable and elastic computing resources are provided to the end-users over high speed computer networks (the Internet). Cloudlet scheduling that has a significant impact on the overall cloud system performance represents one of the most important challenges in this domain. In this paper, we introduce implementations of the original and hybridized monarch butterfly optimization algorithm that belongs to the category of swarm intelligence metaheuristics, adapted for tackling the cloudlet scheduling problem. The hybridized monarch butterfly optimization approach, as well as adaptations of any monarch butterfly optimization version for the cloudlet scheduling problem, could not be found in the literature survey. Both algorithms were implemented within the environment of the CloudSim platform. The proposed hybridized version of the monarch butterfly optimization algorithm was first tested on standard benchmark functions and, after that, the simulations for the cloudlet scheduling problem were performed using artificial and real data sets. Based on the obtained simulation results and the comparative analysis with six other state-of-the-art metaheuristics and heuristics, under the same experimental conditions and tested on the same problem instances, a hybridized version of the monarch butterfly optimization algorithm proved its potential for tackling the cloudlet scheduling problem. It has been established that the proposed hybridized implementation is superior to the original one, and also that the task scheduling problem in cloud environments can be more efficiently solved by using such an algorithm with positive implications to the cloud management.

show abstract

Special Issue: Empowering eHealth with Smart Internet of Things (IoT) Medical Devices

Abstract: The use of Internet of Things (IoT) with medical devices within a connected health environment promotes the quick flow of information and enables easy access to it [...]

Cited by 13 publications

References 6 publications

Visualizing Wearable Medical Device Research Trends: A Co-occurrence Network-Based Bibliometric Analysis

Visualizing Wearable Medical Device Research Trends: A Co-occurrence Network-Based Bibliometric Analysis

A Survey of Authentication in Internet of Things-Enabled Healthcare Systems

Cloudlet Scheduling by Hybridized Monarch Butterfly Optimization Algorithm

Contact Info

Product

Resources

About