Big Data and IoT for Chronic Patients Monitoring

Páez, Diego Gachet; Aparicio, Fernando; Rodríguez, Manuel de Buenaga; Ascanio, Juan Ramón

doi:10.1007/978-3-319-13102-3_68

Cited by 25 publications

(11 citation statements)

References 10 publications

(4 reference statements)

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“…Yujun et al proposed a four-layered big health application, system supported by IoHT and big data, for remote disease diagnosis, smart clothing based healthcare, LTE assisted telemedicine, and robotic interactions [53]. Similar frameworks include: monitoring systems for chronic diseases such as cardiovascular and respiratory diseases through IoT sensors [54], mobile healthcare systems for patient monitoring using big data analytics applied on sensor data [55], [56], heterogeneous healthcare big data analytics system for decision making in risk management and patient care [57]. The cloud can also be deployed to process and manage the IoT data online [58], [59].…”

Section: State-of-the-art Of Ioht Frameworkmentioning

confidence: 99%

Toward a Heterogeneous Mist, Fog, and Cloud-Based Framework for the Internet of Healthcare Things

Asif-Ur-Rahman

Afsana

Mahmud

et al. 2019

IEEE Internet Things J.

180

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Rapid developments in the fields of information and communication technology and microelectronics allowed seamless interconnection among various devices letting them to communicate with each other. This technological integration opened up new possibilities in many disciplines including healthcare and well-being. With the aim of reducing healthcare costs and providing improved and reliable services, several healthcare frameworks based on Internet of Healthcare Things (IoHT) have been developed. However, due to the critical and heterogeneous nature of healthcare data, maintaining high quality of service (QoS) -in terms of faster responsiveness and data-specific complex analytics -has always been the main challenge in designing such systems. Addressing these issues, this paper proposes a five-layered heterogeneous mist, fog, and cloud based IoHT framework capable of efficiently handling and routing (near-)real-time as well as offline/batch mode data. Also, by employing software defined networking and link adaptation based load balancing, the framework ensures optimal resource allocation and efficient resource utilization. The results, obtained by simulating the framework, indicate that the designed network via its various components can achieve high QoS, with reduced end-to-end latency and packet drop rate, which is essential for developing next generation e-healthcare systems.

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Section: State-of-the-art Of Ioht Frameworkmentioning

confidence: 99%

Toward a Heterogeneous Mist, Fog, and Cloud-Based Framework for the Internet of Healthcare Things

Asif-Ur-Rahman

Afsana

Mahmud

et al. 2019

IEEE Internet Things J.

180

View full text Add to dashboard Cite

show abstract

“…Intelligent transportation is the need for the future vehicular communications, which simplifies data gathering, its execution, distribution, and exploration for travelers. In healthcare, the use of IoT devices plays an important role, ranging from the primary investigation of patients [80] to the operation theater (OT) [81], [82]. Heterogeneous IoT has stimulated the improvement of wearable smart devices [83] and revealed a new trend of mobile health.…”

Section: Sensing Layermentioning

confidence: 99%

The Internet of Things: A Review of Enabled Technologies and Future Challenges

et al. 2019

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The Internet of Things (IoT) is an emerging classical model, envisioned as a system of billions of small interconnected devices for posing the state-of-the-art findings to real-world glitches. Over the last decade, there has been an increasing research concentration in the IoT as an essential design of the constant convergence between human behaviors and their images on Information Technology. With the development of technologies, the IoT drives the deployment of across-the-board and self-organizing wireless networks. The IoT model is progressing toward the notion of a cyber-physical world, where things can be originated, driven, intermixed, and modernized to facilitate the emergence of any feasible association. This paper provides a summary of the existing IoT research that underlines enabling technologies, such as fog computing, wireless sensor networks, data mining, context awareness, real-time analytics, virtual reality, and cellular communications. Also, we present the lessons learned after acquiring a thorough representation of the subject. Thus, by identifying numerous open research challenges, it is presumed to drag more consideration into this novel paradigm. INDEX TERMS Internet of Things, fog computing, wireless sensor networks, smart cities, cellular IoT, real-time analytics.

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“…Diego Gachet Páez et al in this research author provided key solution for initiation of services which will base on internet of things and data engineering concepts [15].…”

Section: Literature Reviewmentioning

confidence: 99%

Future Challenges, Benefits of Internet of Medical Things and Applications in Healthcare Domain

Rao¹,

JJ²,

Farooq³

et al. 2020

Preprint

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Internet of Medical Things (IOMT) is playing vital role in healthcare industry to increase the accuracy, reliability and productivity of electronic devices. Researchers are contributing towards a digitized healthcare system by interconnecting the available medical resources and healthcare services. As IOT converge various domains but our focus is related to research contribution of IOT in healthcare domain. This paper presents the peoples contribution of IOT in healthcare domain, application and future challenges of IOT in term of medical services in healthcare. We do hope that this work will be useful for researchers and practitioners in the field, helping them to understand the huge potential of IoT in medical domain and identification of major challenges in IOMT. This work will also help the researchers to understand applications of IOT in healthcare domain. This contribution will help the researchers to understand the previous contribution of IOT in healthcare industry.

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Big Data and IoT for Chronic Patients Monitoring

Cited by 25 publications

References 10 publications

Toward a Heterogeneous Mist, Fog, and Cloud-Based Framework for the Internet of Healthcare Things

Toward a Heterogeneous Mist, Fog, and Cloud-Based Framework for the Internet of Healthcare Things

The Internet of Things: A Review of Enabled Technologies and Future Challenges

Future Challenges, Benefits of Internet of Medical Things and Applications in Healthcare Domain

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