Survey on Sensors and Smart Devices for IoT Enabled Intelligent Healthcare System

Chopade, Swati; Gupta, Hari Prabhat; Dutta, Tanima

doi:10.1007/s11277-023-10528-8

Cited by 14 publications

(6 citation statements)

References 89 publications

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“…Medical sensors and devices help monitor physical problems. After collecting the monitored data, it is sent to the cloud to improve the performance of the medical device by integrating with the smartphone or some medical devices and smartphone applications ( 14 ). It is also having a potential impact in other areas, such as cardiovascular disease and prevention management ( 15 ).…”

Section: Resultsmentioning

confidence: 99%

Utilization of smart devices and the evolution of customized healthcare services focusing on big data: a systematic review

Son,

Kwon

2024

mHealth

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Background Currently, smart devices can prevent diseases by continuously collecting user information and providing health-related feedback. Smart devices big data provide personalized, faster, and more accurate health care. By examining existing studies, we suggest a new healthcare evolution and health promotion through information technology (IT) convergence. A big data systematic review examined the evolution of new health care and their potential for health promotion by monitoring physical activities, preventing diseases, and analyzing health data smart devices. Methods Therefore, this evaluates whether a new healthcare industry combining smart devices and big-data-based customized health care services can promote health. This study searched PubMed, Google Scholar, Scopus, and Research Information Sharing Service (RISS) for keywords related to big data, smart devices, healthcare, customized health services, health apps, and mobile health. This study comprised 43 of 453 publications from 2007 to 2023. Among them, a total of 43 articles were successfully completed in this study using the PRISMA flowchart in the final stage. Results Smart devices centered on big data enable personalized health care, and app technologies that promote well-being to prepare for aging society have many applications in clinical, prevention, public health, and rehabilitation settings. Smart devices and tailored healthcare services using big data to inform individuals about exercise, health status, diagnosis, and health information will expand into major sectors. By reviewing previous studies, the convergence of the IT technology field, which allows you to easily identify individual health and receive faster and more accurate medical services through customized health care services, has future-oriented values as, new health care services evolve. The systematic review of big data herein can monitor physical activity and prevent diseases using smart devices, thus promoting a healthy lifestyle. Conclusions Smart devices that analyze data to provide personal exercise and health conditions, checkups, and information, are making our lives easier. The information service using big data will continue to evolve into a personalized management service and provide basic healthcare data as it grows into an expected industry in the future.

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Section: Resultsmentioning

confidence: 99%

Utilization of smart devices and the evolution of customized healthcare services focusing on big data: a systematic review

Son,

Kwon

2024

mHealth

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“…366 The IoT plays a critical role in modern medical and healthcare systems. 367 IoT self-powered sensors as the new generation of sensors will utilize several sources of energy harvesting for designing smart cities as well as smart healthcare. Population growth and the increasing number of people suffering from chronic diseases, as well as elderly people undergoing treatment, have made the need for self-powered IoT sensors even more apparent.…”

Section: Sensorsmentioning

confidence: 99%

“…The IoT plays a critical role in modern medical and healthcare systems . IoT self-powered sensors as the new generation of sensors will utilize several sources of energy harvesting for designing smart cities as well as smart healthcare.…”

Section: Conclusion and Future Research Directionsmentioning

confidence: 99%

Advancements in Bio-inspired Self-Powered Wireless Sensors: Materials, Mechanisms, and Biomedical Applications

Farzin,

Naghib,

Rabiee

2024

ACS Biomater. Sci. Eng.

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The rapid maturation of smart city ecosystems is intimately linked to advances in the Internet of Things (IoT) and self-powered sensing technologies. Central to this evolution are battery-less sensors that are critical for applications such as continuous health monitoring through blood metabolites and vital signs, the recognition of human activity for behavioral analysis, and the operational enhancement of humanoid robots. The focus on biosensors that exploit the human body for energy-spanning wearable, attachable, and implantable variants has intensified, driven by their broad applicability in areas from underwater exploration to biomedical assays and earthquake monitoring. The heart of these sensors lies in their diverse energy harvesting mechanisms, including biofuel cells, and piezoelectric, triboelectric, and pyroelectric nanogenerators. Notwithstanding the wealth of research, the literature still lacks a holistic review that integrates the design challenges and implementation intricacies of such sensors. Our review seeks to fill this gap by thoroughly evaluating energy harvesting strategies from both material and structural perspectives and assessing their roles in powering an array of sensors for myriad uses. This exploration offers a comprehensive outlook on the state of self-powered sensing devices, tackling the nuances of their deployment and highlighting their potential to revolutionize data gathering in autonomous systems. The intent of this review is to chart the current landscape and future prospects, providing a pivotal reference point for ongoing research and innovation in selfpowered wireless sensing technologies.

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“…Communications are from the medical devices to the network coordinator, from the coordinator to the gateway, and from the gateway to the cloud. An analysis of network communication protocols in IoT-based healthcare monitoring systems such as HTTP, CoAP, MQTT, and AMQP has been done in work [21]. The authors also consider using RFID technology in the intelligent health system.…”

Section: Rpm System Communication Capabilitiesmentioning

confidence: 99%

Delay of Transmitted Data in the Remote Patient Monitoring System through AMQP and CoAP

Tsvetanov,

Pandurski

2024

Int. J. Onl. Eng.

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Remote Patient Monitoring (RPM) is a healthcare solution that uses technology to monitor patients outside conventional healthcare settings. It is especially useful for people with chronic conditions or needing regular monitoring. One of the main reasons for the increase in the number of deaths each year is the increase in cardiovascular diseases, including hypertension. Online blood pressure monitoring offers many advantages but also potential challenges. This work reviews the key communication technologies and research challenges in the real-time transmission of measured blood pressure data. Delay in these systems is not tolerated as it involves human lives. To conduct the experimental studies, a prototype of an experimental intelligent system was created to study the delay and processor load of the RPI4 gateway. The measured blood pressure data is sent to the Things Board cloud using the AMQP and CoAP protocols. The experimental results are particularly useful for RPM system designers. The results of this research facilitate an informed decision on the choice of protocol that transmits the data from the gateway to the cloud in the process of designing remote patient monitoring systems.

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Survey on Sensors and Smart Devices for IoT Enabled Intelligent Healthcare System

Cited by 14 publications

References 89 publications

Utilization of smart devices and the evolution of customized healthcare services focusing on big data: a systematic review

Utilization of smart devices and the evolution of customized healthcare services focusing on big data: a systematic review

Advancements in Bio-inspired Self-Powered Wireless Sensors: Materials, Mechanisms, and Biomedical Applications

Delay of Transmitted Data in the Remote Patient Monitoring System through AMQP and CoAP

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