IOT enabled comprehensive, plug and play gateway framework for smart health

Kesavan, Selvaraj; Kalambettu, Ganesh Kumar

doi:10.1109/icaecc.2018.8479431

Cited by 10 publications

(4 citation statements)

References 4 publications

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“…Some healthcare and research organizations provide gateways as physical devices [18], limiting their adoption and control. Kesavan et al [19] proposed a gateway framework for smart health, but it is limited to a few body-attached sensors, supports only Bluetooth and Wi-Fi, and limited info is provided on cloud platform integration.…”

Section: B Motivation and Related Workmentioning

confidence: 99%

RADAR-IoT: An open-source, interoperable and extensible IoT gateway framework for healthcare and beyond

Ranjan,

Chang,

Sankesara

et al. 2023

Preprint

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IoT sensors offer a wide range of sensing capabilities, many of which have the potential for health or medical applications. Existing solutions for IoT in healthcare have notable limitations, such as limited I/O protocols, limited cloud platform support, and limited extensibility. Therefore, the development of an open-source Internet of Medical Things (IoMT) gateway solution that addresses these limitations and provides reliability, broad applicability, and utility would be highly desirable. Combining a wide range of sensor data streams from IoT devices with ambulatory mHealth data would open the potential for providing a detailed 360-degree view of the relationship between patient physiology, behaviour, and environment. To harness this potential, RADAR-IoT has been developed as an open-source IoT gateway framework. Its purpose is to connect multiple IoT devices at the edge, perform on-device data analysis, and integrate with cloud-based mobile health platforms such as RADAR-base, enabling real-time data processing.

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Section: B Motivation and Related Workmentioning

confidence: 99%

RADAR-IoT: An open-source, interoperable and extensible IoT gateway framework for healthcare and beyond

Ranjan,

Chang,

Sankesara

et al. 2023

Preprint

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“…They proposed a device discovery service that (1) automatically detect and generate a description of the device and its functionalities, and (2) integrating that same device seamlessly in the reasoning process without causing any interruption to platform or the framework functionality. *) Kesavan et al, bring forward the scalability and dynamic approach which is an essential aspect for remote monitoring of patient data with real time analysis [16]. In their proposed method they focused on the scalability of the system in accordance with the PnP approach.…”

Section: Plug and Play In Iot Platformsmentioning

confidence: 99%

IoT Architecture with Plug and Play for Fast Deployment and System Reliability: AMI Platform

Abdulrazak

Paul

Maraoui

et al. 2022

Lecture Notes in Computer Science

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The rapid advancement of the Internet of Things (IoT) has reshaped the industrial system, agricultural system, healthcare systems, and even our daily livelihoods, as the number of IoT applications is surging in these fields. Still, numerous challenges are imposed when putting in place such technology at large scale. In a system of millions of connected devices, operating each one of them manually is impossible, making IoT platforms unmaintainable. In this study, we present our attempt to achieve the autonomy of IoT infrastructure by building a platform that targets a dynamic and quick Plug and Play (PnP) deployment of the system at any given location, using predefined pipelines. The platform also supports real-time data processing, which enables the users to have reliable and real-time data visualization in a dynamic dashboard.

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“…Given the innovation of numerous well-being crucial sensors and action GPS beacons, powerfully measuring and checking of fundamental wellbeing boundaries become simple. The sensors and gadgets utilize various conventions and specialized techniques for communicating the information [19].…”

Section: Connect Multiple Devicesmentioning

confidence: 99%

Web-Based Health Monitoring System and Textual Mining

2021

IJATCSE

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The goal of the Health Monitoring System (HMS) and Textual mining is a large area to discuss. Web based health monitoring systems provide a massive number of benefits to the patient and normal healthy people to know about health issues and discuss the condition with doctors through a web portal. HMS is a process that has been used since past decades to monitor patients at hospitals in urgent situations, with the development of technologies we can use devices to check health updates of a person anytime. So, we built a prototype which is a heat sensor connected with a wireless network process. The device gives the temperature update on a real time basis, where we can add many more devices to add with the web portal and compare the data through our textual mining algorithm procedure. We believe our proposed methodology works in a larger benefit which will give a better version of the Health Monitoring System to the world for individuals. Our proposed work consists of a large amount of data that we examined to make our health monitoring system effective

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IOT enabled comprehensive, plug and play gateway framework for smart health

Cited by 10 publications

References 4 publications

RADAR-IoT: An open-source, interoperable and extensible IoT gateway framework for healthcare and beyond

RADAR-IoT: An open-source, interoperable and extensible IoT gateway framework for healthcare and beyond

IoT Architecture with Plug and Play for Fast Deployment and System Reliability: AMI Platform

Web-Based Health Monitoring System and Textual Mining

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