Emerging trends, issues, and challenges in Internet of Medical Things and wireless networks

Manogaran, Gunasekaran; Chilamkurti, Naveen; Hsu, Ching‐Hsien

doi:10.1007/s00779-018-1178-6

Cited by 82 publications

(33 citation statements)

References 33 publications

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“…(2) The role of IOT technology in power maintenance The periodic maintenance mode formulated in 1950s is used for the maintenance of power equipment in China. So far, the main maintenance mode is still the method [7][8]. There are two inevitable deficiencies in this method.…”

Section: Internet Of Thingsmentioning

confidence: 99%

Power Transformer Fault Diagnosis System Based on Internet of Things

Wang

Liu

Chen

et al. 2020

Preprint

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Transformer is the most important equipment in the power system. The research and development of fault diagnosis technology for Internet of things equipment can effectively detect the operation status of equipment and eliminate hidden faults in time, which is conducive to reducing the incidence of accidents and improving people's life safety index. Objective: To explore the utility of Internet of things in power transformer fault diagnosis system. Methods: A total of 30 groups of transformer fault samples were selected, and 10 groups were randomly selected for network training, and the rest samples were used for testing. The matter-element extension mathematical model of power transformer fault diagnosis was established, and the correlation function was improved according to the characteristics of three ratio method. Each group of power transformer was diagnosed for four months continuously, and the monitoring data and diagnosis were recorded and analyzed result. GPRS communication network is used to complete the communication between data acquisition terminal and monitoring terminal. According to the parameters of the database, the working state of the equipment is set, and various sensors are controlled by the instrument driver module to complete the diagnosis of transformer fault system. Results: The detection success rate of the power transformer fault diagnosis system model established in this paper is as high as 95.6%, the training error is less than 0.000 l, and it can correctly identify the fault types of the non-training samples. It can be seen that the technical support of the Internet of things is helpful to the upgrading and maintenance of the power transformer fault diagnosis system.

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Section: Internet Of Thingsmentioning

confidence: 99%

Power Transformer Fault Diagnosis System Based on Internet of Things

Wang

Liu

Chen

et al. 2020

Preprint

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“…Particularly in the healthcare domain, IoT has been given a special definition. Manogaran et al 2 defined the Internet of Medical Things (IoMT) (also known as healthcare IoT) as the global infrastructure consisting of medical devices and applications interconnected by the Internet, where temperature, carbon dioxide, ECG/ EEG/EMG, pressure, gyroscope, blood oxygen saturation, humidity, respiration, and blood pressure sensors enable the observation and monitoring of patients' health in a continuous manner. As a consequence, healthcare providers can offer more accurate services and improve the quality of life of patients.…”

Section: Introductionmentioning

confidence: 99%

Interoperable Internet of Medical Things platform for e-Health applications

Rubí

Gondim

2020

International Journal of Distributed Sensor Networks

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The development of information and telecommunication technologies has given rise to new platforms for e-Health. However, some difficulties have been detected since each manufacturer implements its communication protocols and defines their data formats. A semantic incongruence is observed between platforms since no common healthcare domain vocabulary is shared between manufacturers and stakeholders. Despite the existence of standards for semantic and platform interoperability (e.g. openEHR for healthcare, Semantic Sensor Network for Internet of Medical Things platforms, and machine-to-machine standards), no approach has combined them for granting interoperability or considered the whole integration of legacy Electronic Health Record Systems currently used worldwide. Moreover, the heterogeneity in the large volume of health data generated by Internet of Medical Things platforms must be attenuated for the proper application of big data processing techniques. This article proposes the joint use of openEHR and Semantic Sensor Network semantics for the achievement of interoperability at the semantic level and use of a machine-tomachine architecture for the definition of an interoperable Internet of Medical Things platform.

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“…On one hand, continuous technological advances have made possible the building of smart devices with significant capabilities for sensing and connecting to provide several advancements in AAL system architectures [3][4][5]. In particular, the advances in networking, sensors, and embedded systems enable real-time monitoring for enhanced living environments and healthcare [6].…”

Section: Introductionmentioning

confidence: 99%

A Cost-Effective Air Quality Supervision Solution for Enhanced Living Environments through the Internet of Things

Marques

Pitarma

2019

Electronics

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We spend about 90% of our lives in indoor living environments. Thus, it is essential to provide indoor air quality monitoring for enhanced living environments. Advances in networking, sensors, and embedded devices have made monitoring and supply of assistance possible to people in their homes. Technological advancements have made possible the building of smart devices with significant capabilities for sensing and connecting, but also provide several improvements in ambient assisted living system architectures. Indoor air quality assumes an important role in building productive and healthy indoor environments. In this paper, the authors present an Internet of Things system for real-time indoor air quality monitoring named iAir. This system is composed by an ESP8266 as the communication and processing unit and a MICS-6814 sensor as the sensing unit. The MICS-6814 is a metal oxide semiconductor sensor capable of detecting several gases such as carbon monoxide, nitrogen dioxide, ethanol, methane, and propane. The iAir system also provides a smartphone application for data consulting and real-time notifications. Compared to other solutions, the iAir system is based on open-source technologies and operates as a totally Wi-Fi system, with several advantages such as its modularity, scalability, low cost, and easy installation. The results obtained are very promising, representing a meaningful contribution for enhanced living environments as iAir provides real-time monitoring for enhanced ambient assisted living and occupational health.

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Emerging trends, issues, and challenges in Internet of Medical Things and wireless networks

Cited by 82 publications

References 33 publications

Power Transformer Fault Diagnosis System Based on Internet of Things

Power Transformer Fault Diagnosis System Based on Internet of Things

Interoperable Internet of Medical Things platform for e-Health applications

A Cost-Effective Air Quality Supervision Solution for Enhanced Living Environments through the Internet of Things

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