Internet of Things Based E-health Systems: Ideas, Expectations and Concerns

Maksimović, Mirjana; Vujović, Vladimir

doi:10.1007/978-3-319-58280-1_10

Cited by 55 publications

(36 citation statements)

References 67 publications

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“…The IoT paradigm promises an era in which everyday objects are interconnected with each other and the Internet, enabling technologies to "disappear from the consciousness of the user" [24]. The economic scale and impact of IoT is set to touch nearly every industry ranging from homes [31,44], retail [46], health [32,35], smart cities [3], and as with our focus, automated shopping and delivery [9]. Yet, the notion that our lives will be filled with devices generating and collecting data engenders new challenges in how future systems could adequately act upon this data to be of value to users [40].…”

Section: The Proactive Internet Of Things (Iot)mentioning

confidence: 99%

Tracking the Consumption of Home Essentials

Fuentes

Porcheron

Fischer

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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Predictions of people's behaviour increasingly drive interactions with a new generation of IoT services designed to support everyday life in the home, from shopping to heating. Based on the premise that such automation is difficult due to the contingent nature of people's practices, in this work we explore the nature of these contingencies in depth. We have designed and conducted a technology probe that made use of simple linear predictions as a provocation, and invited people to track the life of their household essentials over a two-month period. Through a mixed-method approach we demonstrate the challenges of simple predictions, and in turn identify eight categories of contingencies that influenced prediction accuracy. We discuss strategies for how designers of future predictive IoT systems may take the contingencies into account by removing, hiding, revealing, managing, or exploiting the system uncertainty at the core of the issue. CCS CONCEPTS • Human-centered computing → Field studies; Empirical studies in ubiquitous and mobile computing; Empirical studies in HCI .

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Section: The Proactive Internet Of Things (Iot)mentioning

confidence: 99%

Tracking the Consumption of Home Essentials

Fuentes

Porcheron

Fischer

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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“…The powering healthcare systems with the IoT vision lead to numerous advantages, such as the availability and accessibility, an ability to provide a more "personalized" system, and high-quality cost-effective healthcare [21]. Hence, IoT is considered as promising solutions for the healthcare sector, since it places the patient in the center of the treatment process, enables self-managing their own disease, gives health professionals faster and secure access to all information they need to care for the patient, enables remote care and assistance through associated networked-monitoring equipment [2].…”

Section: The Iot-based Healthcare Systemmentioning

confidence: 99%

“…At this level the sensed and collected data is being used for analysis, computations, visualizations, etc. In other words, the IoT-driven e-health solution enables [21]:…”

Section: The Iot-based Healthcare Systemmentioning

confidence: 99%

“…Posting these data to the Cloud for processing and storage and transmitting response data back also is not the right solutions, because it requires a larger bandwidth, a considerable amount of time and can suf-fer from latency issues. Regarding privacy and security issues, all data related to a patient's health and medical history are especially sensitive and need to be protected in the appropriate way [21]. Having in mind the estimations regarding an astonishing number of IoT smart devices that will be in operation in the following period and expected data traf ic [8], as well as security and privacy requirements, it is obvious that Cloud is not capable of dealing with these challenges.…”

Section: The Iot-based Healthcare Systemmentioning

confidence: 99%

“…The necessity of generation, processing, and sharing health-related data with the appropriate level of security and privacy is an important goal that must be accomplished. Therefore, the security and privacy issues of IoT-driven health-care systems must be threatened on many levels, with security and privacy framework and mechanisms built into the whole health-care ecosystem, from the device, to the network, to the data center, in order to ful ill following aspects of privacy and security [21,24]:…”

Section: Security and Privacy Issues In Fog Computingmentioning

confidence: 99%

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Implementation of Fog computing in IoT-based healthcare system

Maksimović

2018

JITA

Self Cite

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Abstract:INowhere do the technology advancements bring improvements than in the healthcare sector, constantly creating new healthcare applications and systems which completely revolutionize the healthcare domain. The appearance of Internet of Things (IoT) based healthcare systems has immensely improved quality and delivery of care, and signi icantly reduced the costs. At the same time, these systems generate the enormous amount of health-associated data which has to be properly gathered, analyzed and shared. The smart devices, as the components of IoT-driven healthcare systems, are not able to deal with IoT-produced data, neither data posting to the Cloud is the appropriate solution. To overcome smart devices' and Cloud's limitations the new paradigm, known as Fog computing, has appeared, where an additional layer processes the data and sends the results to the Cloud. Despite numerous bene its Fog computing brings into IoT-based environments, the privacy and security issues remain the main challenge for its implementation. The reasons for integrating the IoT-based healthcare system and Fog computing, bene its and challenges, as well as the proposition of simple low-cost system are presented in this paper.

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