Internet of Things Based Wireless Body Area Network in Healthcare

Elhayatmy, G.; Dey, Nilanjan; Ashour, Amira S.

doi:10.1007/978-3-319-60435-0_1

Cited by 87 publications

(26 citation statements)

References 50 publications

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“…One major constituent of IoMT in the healthcare industry is wireless body-area network (WBAN) systems. WBAN are becoming a significant enabling technology for a wide variety of applications, especially in medical and healthcare environments for remote monitoring of physiological parameters [138][139][140][141]. For instance, people can use IoT devices to remind them about appointments, changes in blood pressure, calories burnt and much more [142,143].…”

Section: Healthcare Iot and Medical Devicesmentioning

confidence: 99%

Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research

et al. 2019

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One of the most important discoveries and creative developments that is playing a vital role in the professional world today is blockchain technology. Blockchain technology moves in the direction of persistent revolution and change. It is a chain of blocks that covers information and maintains trust between individuals no matter how far they are. In the last couple of years, the upsurge in blockchain technology has obliged scholars and specialists to scrutinize new ways to apply blockchain technology with a wide range of domains. The dramatic increase in blockchain technology has provided many new application opportunities, including healthcare applications. This survey provides a comprehensive review of emerging blockchain-based healthcare technologies and related applications. In this inquiry, we call attention to the open research matters in this fast-growing field, explaining them in some details. We also show the potential of blockchain technology in revolutionizing healthcare industry.

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Section: Healthcare Iot and Medical Devicesmentioning

confidence: 99%

Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research

et al. 2019

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“…With environmental sensors and wearable devices, smart healthcare platforms can continuously monitor the health status and activities of the patients and/or elderly, and the safety and security of the environment (Elhayatmy et al, 2018;Jain and Vishal, 2017). This continuous flow of data in combination with people's medical history, can support personalized diagnosis and assistance and automate important tasks, such as medical data archiving and the evaluation of medical interventions effectiveness.…”

Section: Big Data and Machine Learningmentioning

confidence: 99%

Biosensors and Internet of Things in smart healthcare applications: challenges and opportunities

Pateraki

Fysarakis²,

Sakkalis

et al. 2020

Wearable and Implantable Medical Devices

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“…The Internet of Things or IoT is a term for connection between several electronic devices through the Internet, such as cellphones, electronic devices that can be used, and home automation systems [21]. The IoT system is considered complete when at least integrating several components such as sensors, actuators, connected devices, gateways, IoT Integration Middleware, and applications [22].…”

Section: Internet Of Thingsmentioning

confidence: 99%

Automatic Attendance System for University Student Using Face Recognition Based on Deep Learning

Sutabri¹,

Pamungkur²,

Kurniawan³

et al. 2019

IJMLC

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Student attendance is essential in the learning process. To record student attendance, several ways can be done; one of them is through student signatures. The process has several shortcomings, such as requiring a long time to make attendance; the attendance paper is lost, the administration must enter attendance data one by one into the computer. To overcome this, the paper proposed a web-based student attendance system that uses face recognition. In the proposed system, Convolutional Neural Network (CNN) is used to detect faces in images, deep metric learning is used to produce facial embedding, and K-NN is used to classify student's faces. Thus, the computer can recognize faces. From the experiments conducted, the system was able to recognize the faces of students who did attend and their attendance data was automatically saved. Thus, the university administration is alleviated in recording attendance data.

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Internet of Things Based Wireless Body Area Network in Healthcare

Cited by 87 publications

References 50 publications

Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research

Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research

Biosensors and Internet of Things in smart healthcare applications: challenges and opportunities

Automatic Attendance System for University Student Using Face Recognition Based on Deep Learning

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