IoT Technologies for Smart Healthcare

Rayan, Rehab Α.; Zafar, Imran; Tsagkaris, Christos

doi:10.1002/9781119792826.ch8

Cited by 3 publications

(4 citation statements)

References 53 publications

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“…Advanced communication and internet technologies, such as IoT [6], Cloud [7], Artificial Intelligence (AI) [8], and high-speed internet, are being utilized in various fields such as the development of autonomous trains [9], rail transportation [10], in construction [11], smart energy [12] and smart grid [13], healthcare [14], smart water [15], surveillance [16] and smart cities [17]. In these applications, smart sensors are used to monitor, identify possible problems, anticipate incidents, and improve safety while using less energy.…”

Section: Introductionmentioning

confidence: 99%

Design of a Printed Circuit Board for Real-time Monitoring and Control of Pipeline’s Cathodic Protection System via IoT and a Cloud Platform

Mekki,

Kessar,

Mouaz

2023

IJE

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The integration of Internet of Things (IoT) and cloud-based cathodic protection (CP) systems is an innovative approach that can lead to improve pipeline protection from corrosion. Using a printed circuit board (PCB) to measure and control current and voltage makes it possible to monitor PC systems in real time. The web interface that is connected to the PCB circuit through IoT technology provides a platform for instant evaluation of the data obtained, thereby enabling early detection of potential problems. One of the key benefits of real-time monitoring is improved data management and security. The data obtained can be stored on a cloud server, making it easier to access and analyze. This eliminates the need for manual inspections, which can be time-consuming and error-prone. Additionally, real-time monitoring can reduce downtime, as problems can be detected and resolved quickly, preventing the need for lengthy manual inspections and maintenance. This innovative approach has tremendous potential for the future of pipeline protection and corrosion control. The developed PCB circuit features a mobile UART that provides program protection, and the interface can control multiple PCB cards and relays independently. The monitoring system can be updated without interrupting data acquisition. The use of open-source software, database hosting, and low-cost PCB development facilitates commercialization. This study could inspire new applications in asset management and monitoring.

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Section: Introductionmentioning

confidence: 99%

Design of a Printed Circuit Board for Real-time Monitoring and Control of Pipeline’s Cathodic Protection System via IoT and a Cloud Platform

Mekki,

Kessar,

Mouaz

2023

IJE

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“…The Internet of Medical Things (IoMT) is a rapidly growing field representing an interconnected network of medical devices, software applications, and health systems [1]. The IoMT network of devices and applications enables healthcare providers to collect, store, and analyze patient data in real-time applications, facilitating the efficient diagnosis, treatment, and monitoring of patient's health [2]. However, with the increasing connectivity of medical devices and systems, concerns have also grown in areas where it is difficult to have proper infrastructure.…”

Section: Introductionmentioning

confidence: 99%

A UAV-Assisted Stackelberg Game Model for Securing loMT Healthcare Networks

Shaikh

Wang

Khan

et al. 2023

Drones

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On the one hand, the Internet of Medical Things (IoMT) in healthcare systems has emerged as a promising technology to monitor patients’ health and provide reliable medical services, especially in remote and underserved areas. On the other hand, in disaster scenarios, the loss of communication infrastructure can make it challenging to establish reliable communication and to provide timely first aid services. To address this challenge, unmanned aerial vehicles (UAVs) have been adopted to assist hospital centers in delivering medical care to hard-to-reach areas. Despite the potential of UAVs to improve medical services in emergency scenarios, their limited resources make their security critical. Therefore, developing secure and efficient communication protocols for IoMT networks using UAVs is a vital research area that can help ensure reliable and timely medical services. In this paper, we introduce a novel Stackelberg security-based game theory algorithm, named Stackelberg ad hoc on-demand distance vector (SBAODV), to detect and recover data affected by black hole attacks in IoMT networks using UAVs. Our proposed scheme utilizes the substantial Stackelberg equilibrium (SSE) to formulate strategies that protect the system against attacks. We evaluate the performance of our proposed SBAODV scheme and compare it with existing routing schemes. Our results demonstrate that our proposed scheme outperforms existing schemes regarding packet delivery ratio (PDR), networking load, throughput, detection ratio, and end-to-end delay. Specifically, our proposed SBAODV protocol achieves a PDR of 97%, throughput ranging from 77.7 kbps to 87.3 kbps, and up to 95% malicious detection rate at the highest number of nodes. Furthermore, our proposed SBADOV scheme offers significantly lower networking load (7% to 30%) and end-to-end delay (up to 30%) compared to existing routing schemes. These results demonstrate the efficiency and effectiveness of our proposed scheme in ensuring reliable and secure communication in IoMT emergency scenarios using UAVs.

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“…IoT sensors are commonly linked to the person's body in e-healthcare systems to gather essential details such as blood pressure, respiration rate, glucose levels, electrocardiogram (ECG), temperature, pulse, and oxygen levels. 6 The wearable health gadgets track patients' general medical state, process, report the patient's health, and create alarms in case of any aberrant behavior. These sensors collect patient data for further analysis and consolidation, which is then transferred to the local gateway of health institutions or the doctors for assessment and diagnosis.…”

Section: Introductionmentioning

confidence: 99%

“…It is predicted and published by Fortune Business Insights 5 that by 2028, the IoMT (Internet of Medical Things) would account for approximately 29.5% of the CAGR (Compound Annual Growth Rate) for machine‐to‐machine communication (M2M) and the market size will grow by USD 187.6 billion. IoT sensors are commonly linked to the person's body in e‐healthcare systems to gather essential details such as blood pressure, respiration rate, glucose levels, electrocardiogram (ECG), temperature, pulse, and oxygen levels 6 . The wearable health gadgets track patients' general medical state, process, report the patient's health, and create alarms in case of any aberrant behavior.…”

Section: Introductionmentioning

confidence: 99%

A secure blockchain framework for the internet of medical things

Sharma,

Kaur,

Singh

2023

Trans Emerging Tel Tech

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Technological advancements in the Internet of Medical Things (IoMT) enable medical services to provide incredibly challenging real‐time functions. The proliferation of health sensors has improved patient monitoring, both for patient care and medical purposes, giving professionals more data for early diagnosis and treatment recommendations. Privacy and security are critical considerations for collecting and transferring data from these heterogeneous sensors across the database and the IoT network. This study leverages blockchain technology to improve Electronic Health Record (EHR) privacy and security. This article proposes a novel decentralized architecture using IoT and Blockchain technology for storing EHR and monitoring real‐time patient data. The proposed patient‐centric framework and architecture offer a straightforward solution that fulfills data integrity and anonymity and meets the data interoperability demands. Self‐contained encryption–decryption and primitive cryptographic techniques enhance the system's security. The proposed study models IoT health sensors such as body temperature, pulse rate, spO2, and Electromyogram (EMG) in a blockchain‐based IoT framework. The proposed system has been evaluated to determine that it can process and store Remote Patient Monitoring (RPM) data with encouraging results. The article provides performance, security, and threat analysis to contribute toward a robust, secure, and smart healthcare system using metrics such as latency, throughput, IoT sensor activity, and resource usage. Experimental results present that the proposed method beats the standard healthcare system regarding service quality and patient data monitoring.

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IoT Technologies for Smart Healthcare

Cited by 3 publications

References 53 publications

Design of a Printed Circuit Board for Real-time Monitoring and Control of Pipeline’s Cathodic Protection System via IoT and a Cloud Platform

Design of a Printed Circuit Board for Real-time Monitoring and Control of Pipeline’s Cathodic Protection System via IoT and a Cloud Platform

A UAV-Assisted Stackelberg Game Model for Securing loMT Healthcare Networks

A secure blockchain framework for the internet of medical things

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