The Role of Smart Data in Smart Home: Health Monitoring Case

Puustjärvi, Juha; Puustjärvi, Leena

doi:10.1016/j.procs.2015.10.015

Cited by 26 publications

(10 citation statements)

References 5 publications

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“…In [12] an IoT-based health monitoring system is presented to investigate the role of smart data in the smart home considering remote health monitoring. Remote health monitoring is a technology that makes it possible to monitor the patients outside of clinical settings (usually at home), which can increase access to care and reduce the cost of providing healthcare.…”

Section: Related Workmentioning

confidence: 99%

Remote Patient Monitoring and classifying Using the Internet of Things Platform Combined with Cloud Computing

Iranpak

Shahbahrami

Shakeri

2021

Preprint

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Patients' health and providing an optimal and appropriate solution have recently been considered by many researchers. With the advent of technologies such as cloud computing and 5G network, information can be exchanged faster and more securely. Using cloud computing in this process can significantly improve the monitoring of certain patients. Therefore, providing a favorable method in the medical industry and computer science to monitor the status of patients using connected sensors is very important. Thus, due to its optimal efficiency, speed, and accuracy of data processing and classification, the use of cloud computing to process the data collected from remote patient sensors and the Internet of Things (IoT) platform has been suggested. In this paper, a prioritization system is used to prioritize sensitive information in IoT, and in cloud computing, LSTM deep neural network is used to classify and monitor patients' condition remotely, which can be considered as an important innovative aspect of this paper. Sensor data in the IoT platform is sent to the cloud with the help of the 5th generation Internet. The core of cloud computing uses the LSTM deep neural network algorithm. Through simulating the proposed method and comparing the obtained results with other methods, it was observed that the accuracy of the proposed method has been improved significantly compared to other methods.

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Section: Related Workmentioning

confidence: 99%

Remote Patient Monitoring and classifying Using the Internet of Things Platform Combined with Cloud Computing

Iranpak

Shahbahrami

Shakeri

2021

Preprint

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“…A smart home ontology that covered the modeling of person, device, and context was proposed to enhance the reasoning process. To give semantics for the exchanged data between devices and systems in the home context, another smart home ontology was proposed in [3]. In addition, for the purpose of increasing the usability, the integration of smart home data with other data sources was also explored by applying Linked Data principles.…”

Section: Related Workmentioning

confidence: 99%

“…The technical evolution of IoT also stimulates the development of smart homes. It not only makes people’s daily living more convenient, but also can contribute solutions for challenges in healthcare system [2,3,4].…”

Section: Introductionmentioning

confidence: 99%

Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology

Peng

Goswami

2019

Sensors

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The development of electronic health records, wearable devices, health applications and Internet of Things (IoT)-empowered smart homes is promoting various applications. It also makes health self-management much more feasible, which can partially mitigate one of the challenges that the current healthcare system is facing. Effective and convenient self-management of health requires the collaborative use of health data and home environment data from different services, devices, and even open data on the Web. Although health data interoperability standards including HL7 Fast Healthcare Interoperability Resources (FHIR) and IoT ontology including Semantic Sensor Network (SSN) have been developed and promoted, it is impossible for all the different categories of services to adopt the same standard in the near future. This study presents a method that applies Semantic Web technologies to integrate the health data and home environment data from heterogeneously built services and devices. We propose a Web Ontology Language (OWL)-based integration ontology that models health data from HL7 FHIR standard implemented services, normal Web services and Web of Things (WoT) services and Linked Data together with home environment data from formal ontology-described WoT services. It works on the resource integration layer of the layered integration architecture. An example use case with a prototype implementation shows that the proposed method successfully integrates the health data and home environment data into a resource graph. The integrated data are annotated with semantics and ontological links, which make them machine-understandable and cross-system reusable.

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“…Veçanërisht modeli tradicional i monitorimit të largët, mbështet vetëm pjesërisht këto kërkesa pasi përdorimi i sistemit të informacionit klinik është i izoluar nga pala e tretë, siç janë anëtarët e familjes së pacientit. (Puustjärvi & Puustjärvi, 2015) Për shkak të rritjes së shpejtë të popullsisë, shëndetësia tradicionale është e mbingarkuar. Nuk ka mjekë të mjaftueshëm për të plotësuar nevojën mjekësore te qytetarëve.…”

Section: Zbatimet E Iotunclassified

A SURVEY INTERNET OF THINGS (IOT) - APPLICATIONS, BENEFITS& CHALLENGES

Misimi¹,

Xhaferi²

2018

KIJ

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Communication between people isunavoidable nowadays; sending and receiving information through internet among people is our daily routine which is known as Internet of People. Hence, this kind of communication has grown even more, making possible to communicate not just people but also things which is known as Internet of Things, one of the trendiest technology. The Internet of Things or IoT refers to the billions of physical devices around the world that are now connected to the internet, collecting and sharing data.The increase of population in urban places and their requirements impose the creation of a system that will satisfy all of these requirements. Due to the increasing number of population the numbers of things that people own has grown enormously. Therefore, this fact generated the idea of adding sensors and intelligence to basic objects. Thanks to cheap processors, wireless network,sensors and actuators is possible to turn anything, from a pill to an aeroplane, into part of the Internet of Things. Combining these digital things in the past was very difficult or barely possible simply because the technology was not ready. The IoT integrates the interconnectedness of human culture- our “things” with the interconnectedness of our digital information system- “the internet”.The development of modern technologies and the Internet of Things establishmentmerged the digital and physical worlds, namely adding digital intelligence to devices that would be otherwise dumb, enabling them to communicate.The potential of this tendencyincreases day by day, enabling a very wide usage. The Internet of Things aims to provide a simple interaction between the physical world and virtual world, integrating a large number of devices of the real world to the internet. The Internet of Things promises to make our environment - our homes,offices and vehicles smarter, more measurable and chattier.The benefits of Internet of Things depend on the particular implementation, but the key is that enterprises should have access to more data about their own things and their own internal system and a greater ability to make changes as a result. It is impossible to predict all IoT applications considering the swift progress of technology and the diversely requirements of consumers. Thus, in our paper we will mention some of the most used and most important applications of IoT, as well the benefits of its implementation in different platforms in different environments. In the end, we emphasize the challenges we face during IoT application, moreoverthe common issues in the adoption of IoT on a large scale.

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The Role of Smart Data in Smart Home: Health Monitoring Case

Cited by 26 publications

References 5 publications

Remote Patient Monitoring and classifying Using the Internet of Things Platform Combined with Cloud Computing

Remote Patient Monitoring and classifying Using the Internet of Things Platform Combined with Cloud Computing

Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology

A SURVEY INTERNET OF THINGS (IOT) - APPLICATIONS, BENEFITS& CHALLENGES

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