A Deep Investigation of Architectural Elements and Computing Technologies for Internet of Medical Things

Arthi, K.; Chidhambararajan, B.; Revathi, A. R.

doi:10.1109/iceca55336.2022.10009359

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…Specifically, we had aimed to evaluate the features and functionalities of the AI smart jacket, including its integration of GPS and biometric sensors, machine learning capabilities, and user-centric design elements. We had also intended to assess the effectiveness of the AI smart jacket in providing realtime data capture and remote access to vital health metrics, with a focus on its applications in chronic illness management and elderly care [4]. Furthermore, we had planned to investigate the user experience of wearing the AI smart jacket, including factors such as comfort, privacy, and ease of use, to understand its potential for widespread adoption and engagement.…”

Section: Introductionmentioning

confidence: 99%

AI-Enabled Smart Jacket : Revolutionizing Healthcare Monitoring and Environmental Control

M. Harini,

K. S. Roshni,

R. Nega

et al. 2024

Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol

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The AI smart jacket represents a groundbreaking innovation in healthcare monitoring, merging wearable technology, advanced sensors, and machine learning algorithms. This wearable device integrates GPS and biometric sensors for real-time data capture, facilitating remote access to health metrics via wireless networking. With a focus on user comfort and privacy, the jacket features machine-washable fabrics and robust security measures. Its array of functionalities includes temperature adjustment, SOS capability, oximeter, ECG monitoring, pulse rate tracking, and a fan with massage functions. The jacket's versatility extends from chronic illness management to elderly care, promising to enhance overall well-being and quality of life. By seamlessly integrating technology into daily life, the AI smart jacket stands as a pioneering solution at the forefront of healthcare innovation.

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Section: Introductionmentioning

confidence: 99%

AI-Enabled Smart Jacket : Revolutionizing Healthcare Monitoring and Environmental Control

M. Harini,

K. S. Roshni,

R. Nega

et al. 2024

Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol

View full text Add to dashboard Cite

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Healthcare and the Internet of Medical Things: Applications, Trends, Key Challenges, and Proposed Resolutions

Al Khatib,

Shamayleh,

Ndiaye

2024

Informatics

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In recent years, the Internet of medical things (IoMT) has become a significant technological advancement in the healthcare sector. This systematic review aims to identify and summarize the various applications, key challenges, and proposed technical solutions within this domain, based on a comprehensive analysis of the existing literature. This review highlights diverse applications of the IoMT, including mobile health (mHealth) applications, remote biomarker detection, hybrid RFID-IoT solutions for scrub distribution in operating rooms, IoT-based disease prediction using machine learning, and the efficient sharing of personal health records through searchable symmetric encryption, blockchain, and IPFS. Other notable applications include remote healthcare management systems, non-invasive real-time blood glucose measurement devices, distributed ledger technology (DLT) platforms, ultra-wideband (UWB) radar systems, IoT-based pulse oximeters, accident and emergency informatics (A&EI), and integrated wearable smart patches. The key challenges identified include privacy protection, sustainable power sources, sensor intelligence, human adaptation to sensors, data speed, device reliability, and storage efficiency. The proposed mitigations encompass network control, cryptography, edge-fog computing, and blockchain, alongside rigorous risk planning. The review also identifies trends and advancements in the IoMT architecture, remote monitoring innovations, the integration of machine learning and AI, and enhanced security measures. This review makes several novel contributions compared to the existing literature, including (1) a comprehensive categorization of IoMT applications, extending beyond the traditional use cases to include emerging technologies such as UWB radar systems and DLT platforms; (2) an in-depth analysis of the integration of machine learning and AI in IoMT, highlighting innovative approaches in disease prediction and remote monitoring; (3) a detailed examination of privacy and security measures, proposing advanced cryptographic solutions and blockchain implementations to enhance data protection; and (4) the identification of future research directions, providing a roadmap for addressing current limitations and advancing the scientific understanding of IoMT in healthcare. By addressing current limitations and suggesting future research directions, this work aims to advance scientific understanding of the IoMT in healthcare.

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Integrating IoMT and Block chain in Smart Healthcare: Challenges and Solutions

Paul,

Reddy,

Maria

et al. 2024

JMC

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For the past couple years, blockchain technique has been growing as a technique for providing innovative services in various commercial applications, including medical sectors like smart healthcare systems. The blockchain technique is effectively implemented in the Internet of Medical Things (IoMT), patient’s electronic health record systems, precise disease detection, and so on. It not only provides efficient data management functionalities such as data storage and exchanging of medical data among various parties involved in the healthcare system but also resolves several privacy and security-related issues of doctor’s and patients’ sensitive medical data meritoriously. With the help of several cryptographic algorithms and data decentralization methods, such as smart contracts, blockchain is used to ensure health data confidentiality without imposing third-party activities. For the privacy and security analysis of blockchain oriented healthcare systems, both asymmetric and symmetric key cryptographic mechanisms are applied in public and private blockchain mechanisms in order to increase the inclusive performance of secured healthcare systems. This paper's problem statement aims to detect the significant issues and challenges of blockchain-based healthcare systems from a general point of view, as well as security and privacy-related points of view. A comprehensive guideline to handle those issues and challenges is also explained in this paper very carefully. Furthermore, a comparative study of blockchain-oriented healthcare systems is discussed in this article to segregate our research involvement and current studies being conducted in this corresponding area.

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A Deep Investigation of Architectural Elements and Computing Technologies for Internet of Medical Things

Cited by 3 publications

References 35 publications

AI-Enabled Smart Jacket : Revolutionizing Healthcare Monitoring and Environmental Control

AI-Enabled Smart Jacket : Revolutionizing Healthcare Monitoring and Environmental Control

Healthcare and the Internet of Medical Things: Applications, Trends, Key Challenges, and Proposed Resolutions

Integrating IoMT and Block chain in Smart Healthcare: Challenges and Solutions

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