Methodology for clinical integration of e-Health sensor-based smart device technology with cloud architecture

Garai, Abel; Pentek, Istvan; Adamkó, Attila; Németh, Ágnes

doi:10.1556/606.2017.12.1.6

Cited by 16 publications

(6 citation statements)

References 16 publications

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“…Translating this to the smart cities and smart homes' level of services could result in a convenient environment for residents. On the other side, the residents of the smart homes will supply their data to make the city's services more efficient [10,27].…”

Section: Smart Ecosystemsmentioning

confidence: 99%

eHealth in the time of smart ecosystems and pandemics

Pentek

Adamkó

2023

SCS

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In the recent decade, many technological innovations have increasingly been incorporated into smart city architectures. Our modern and rushing lifestyle implies at least one fitness tracker or wearable device in most households. Usually, devices are equipped with a set of biosensors, thus producing valuable time series that can be used to track selected areas. The use of bio-sensory time series is not limited to private purposes; data can also be used to improve services in our everyday life. The data generated by bio-sensory devices primarily infiltrate into smart home solutions. However, comprehensive smart home solutions also allow improvements for smart city solutions. The critical factor is the consecutive change in the subject technologies that form the smart city and smart home architectures, including the sensitivity aspects of data originating from confidential sources. Vendors must keep up with this continuous change and release newer and newer solutions, but information systems like HIS (Hospital Information System) or DSS (Decision Support Systems) are not following up at the same speed. This research will demonstrate developments that can make the services of smart ecosystems more valuable by using data collection and analyzing services based on bio-sensory data. Based on the presented research results, smart ecosystems can act considerably more effectively during an epidemic or a pandemic. The research paper focuses on how bio-sensory time series data can be collected and used, how the data can be integrated into smart ecosystems, and how it can be integrated into smart healthcare solutions.

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Section: Smart Ecosystemsmentioning

confidence: 99%

eHealth in the time of smart ecosystems and pandemics

Pentek

Adamkó

2023

SCS

Self Cite

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“…Mobile health (mHealth) is an enabling technology in the deployment of eHealth services that combines the evolution of emerging wireless communications and network technologies with the concept of “connected health care” anytime and anywhere [ 87 , 88 ]. In [ 89 ], mHealth is defined as the use of mobile telecommunications and multimedia technologies, as well as their incorporation into new mobile health care delivery systems.…”

Section: Ehealth: Advances In Mhealthmentioning

confidence: 99%

eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions

Alenoghena

Onumanyi

Ohize

et al. 2022

IJERPH

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The ramifications of the COVID-19 pandemic have contributed in part to a recent upsurge in the study and development of eHealth systems. Although it is almost impossible to cover all aspects of eHealth in a single discussion, three critical areas have gained traction. These include the need for acceptable eHealth architectures, the development of mobile health (mHealth) technologies, and the need to address eHealth system security concerns. Existing survey articles lack a synthesis of the most recent advancements in the development of architectures, mHealth solutions, and innovative security measures, which are essential components of effective eHealth systems. Consequently, the present article aims at providing an encompassing survey of these three aspects towards the development of successful and efficient eHealth systems. Firstly, we discuss the most recent innovations in eHealth architectures, such as blockchain-, Internet of Things (IoT)-, and cloud-based architectures, focusing on their respective benefits and drawbacks while also providing an overview of how they might be implemented and used. Concerning mHealth and security, we focus on key developments in both areas while discussing other critical topics of importance for eHealth systems. We close with a discussion of the important research challenges and potential future directions as they pertain to architecture, mHealth, and security concerns. This survey gives a comprehensive overview, including the merits and limitations of several possible technologies for the development of eHealth systems. This endeavor offers researchers and developers with a quick snapshot of the information necessary during the design and decision-making phases of the eHealth system development life cycle. Furthermore, we conclude that building a unified architecture for eHealth systems would require combining several existing designs. It also points out that there are still a number of problems to be solved, so more research and investment are needed to develop and deploy functional eHealth systems.

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“…In most cases, a Wireless Sensor Network (WSN) can be defined as a system that contains multiple individual sensors and gateways to monitor environmental conditions like temperature, humidity, pressure or any environmental effects or properties. The main applications can be grouped by the origin of the collected data, for example transportation [1], healthcare [2,3] and environmental, structural, or industrial monitoring [4]. Wireless sensor networks have become a huge and well-researched subject in the last decade, since the hardware solutions and the trends along the application areas also changed.…”

Section: Sensor Networkmentioning

confidence: 99%

Gateway placement and traffic load simulation in sensor networks

Hajdú

Dávid

Krész

2021

Pollack

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Because of the wide variety of possible application fields and the spread of smart devices, the research of wireless sensor networks has become an increasingly important area in the last decade. During the design of these networks, several important aspects have to be considered, for example the lifetime of the network, expected battery usage, or robustness of the installed system. In this paper a simulation environment is introduced that enables the testing of different information spreading methods on the network and provides suggestions for gateway placements with different objectives.

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Methodology for clinical integration of e-Health sensor-based smart device technology with cloud architecture

Cited by 16 publications

References 16 publications

eHealth in the time of smart ecosystems and pandemics

eHealth in the time of smart ecosystems and pandemics

eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions

Gateway placement and traffic load simulation in sensor networks

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