Enablers for IoT Regarding Wearable Medical Devices to Support Healthy Living: The Five Facets

Değerli, Mustafa; Yıldırım, Sevgi Özkan

doi:10.1007/978-981-15-9897-5_10

Cited by 7 publications

(3 citation statements)

References 117 publications

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“…The obtained outcomes were analysed, which brought out some serious and critical challenges, such as financial issues, technical reasons, and clinical and legal issues, that needed to be addressed before large-scale deployment of IoT-enabled WMDs. To further enhance the understanding of this domain, a study was conducted by applying exploratory factor analysis techniques [25], which resulted in five key enablers. The outcome improved the body of knowledge of IoT-based WMDs to support healthy living.…”

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%

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

Misra,

Roy,

Dey

et al. 2023

Galician med. j.

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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.

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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

“…The limitations include: computation capability, communication protocols, scalability, infrastructure, and data security [ 35 ]. It is important to address the main enablers for medical IoT regarding wearable medical devices [ 36 ]. Relevant characteristics for attaining, sustaining, and improving success of wearable medical devices was researched.…”

Section: Related Workmentioning

confidence: 99%

Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions

et al. 2022

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This paper provides a comprehensive systematic literature review (SLR) of various technologies and protocols used for medical Internet of Things (IoT) with a thorough examination of current enabling technologies, use cases, applications, and challenges. Despite recent advances, medical IoT is still not considered a routine practice. Due to regulation, ethical, and technological challenges of biomedical hardware, the growth of medical IoT is inhibited. Medical IoT continues to advance in terms of biomedical hardware, and monitoring figures like vital signs, temperature, electrical signals, oxygen levels, cancer indicators, glucose levels, and other bodily levels. In the upcoming years, medical IoT is expected replace old healthcare systems. In comparison to other survey papers on this topic, our paper provides a thorough summary of the most relevant protocols and technologies specifically for medical IoT as well as the challenges. Our paper also contains several proposed frameworks and use cases of medical IoT in hospital settings as well as a comprehensive overview of previous architectures of IoT regarding the strengths and weaknesses. We hope to enable researchers of multiple disciplines, developers, and biomedical engineers to quickly become knowledgeable on how various technologies cooperate and how current frameworks can be modified for new use cases, thus inspiring more growth in medical IoT.

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Semantically Processed Sensor Data in Health Care, Legislation Compliant, Ontologies

D’Souza¹,

Mukhopadhyay²,

Sheng³

2023

Lecture Notes in Electrical Engineering

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Enablers for IoT Regarding Wearable Medical Devices to Support Healthy Living: The Five Facets

Cited by 7 publications

References 117 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

Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions

Semantically Processed Sensor Data in Health Care, Legislation Compliant, Ontologies

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