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IoT in Smart Mobile Health Application
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IoT in Smart Mobile Health Application

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (20 October 2023) | Viewed by 5326

Special Issue Editors

Prof. Dr. William Cheng Chung Chu

E-Mail Website
Guest Editor
Computer Science Department, Tunghai University, Taichung, Taiwan
Interests: MEMS; sensors; AIoT; applications; health
Prof. Dr. Hossain Shahriar

E-Mail Website
Guest Editor
Center for Cybersecurity, University of West Florida, 11000 University Pkwy, Pensacola, FL, USA
Interests: android applicaiton security; web application security; malware detection and analysis; intrusion detection system; blockchain technology and application; cybersecurity education; smart healthcare security; clinical workflow analysis; EHR analytics

Special Issue Information

Dear Colleagues,

We are pleased to invite you to submit your latest research on "IoT in Smart Mobile Health Application".

The Internet of things (IoT) is now considered to be one of the most important areas of digital science and healthcare research and healthcare applications. This technology includes many areas of application such as smart healthcare, smart mobile health, smart hospitals, and IoT-enabled smart medical devices.

This Special Issue aims to bring together researchers and practitioners who are working in the development of these techniques to understand or address the issues related to the application of IoT in Smart Mobile Health Application. We invite submissions of original research articles, review papers, and short communications related to the theme of this Special Issue.

The keywords related to IoT in Smart Mobile Health Application are as follows:

  • health monitoring;
  • Internet of Things;
  • smart Mobile;
  • smart sensor
  • health Application;
  • wearable sensors;
  • digital health;
  • smart health monitoring;
  • E-health;
  • blockchain in health application;
  • mobile health security and privacy;
  • data analytics of IoT mobile health application

Prof. Dr. William Cheng Chung Chu
Prof. Dr. Hossain Shahriar
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • health monitoring
  • Internet of Things
  • smart mobile
  • smart sensor
  • health application
  • wearable sensors
  • digital health
  • smart health monitoring
  • E-health
  • blockchain in health application
  • mobile health security and privacy
  • data analytics of IoT mobile health application

Published Papers (2 papers)

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15 pages, 1403 KiB  
Article
A Smart Card-Based Two-Factor Mutual Authentication Scheme for Efficient Deployment of an IoT-Based Telecare Medical Information System
by Muhammad Asghar Khan, Hosam Alhakami, Wajdi Alhakami, Alexey V. Shvetsov and Insaf Ullah
Sensors 2023, 23(12), 5419; https://doi.org/10.3390/s23125419 - 07 Jun 2023
Cited by 9 | Viewed by 1248
Abstract
The integration of the Internet of Things (IoT) and the telecare medical information system (TMIS) enables patients to receive timely and convenient healthcare services regardless of their location or time zone. Since the Internet serves as the key hub for connection and data [...] Read more.
The integration of the Internet of Things (IoT) and the telecare medical information system (TMIS) enables patients to receive timely and convenient healthcare services regardless of their location or time zone. Since the Internet serves as the key hub for connection and data sharing, its open nature presents security and privacy concerns and should be considered when integrating this technology into the current global healthcare system. Cybercriminals target the TMIS because it holds a lot of sensitive patient data, including medical records, personal information, and financial information. As a result, when developing a trustworthy TMIS, strict security procedures are required to deal with these concerns. Several researchers have proposed smart card-based mutual authentication methods to prevent such security attacks, indicating that this will be the preferred method for TMIS security with the IoT. In the existing literature, such methods are typically developed using computationally expensive procedures, such as bilinear pairing, elliptic curve operations, etc., which are unsuitable for biomedical devices with limited resources. Using the concept of hyperelliptic curve cryptography (HECC), we propose a new solution: a smart card-based two-factor mutual authentication scheme. In this new scheme, HECC’s finest properties, such as compact parameters and key sizes, are utilized to enhance the real-time performance of an IoT-based TMIS system. The results of a security analysis indicate that the newly contributed scheme is resistant to a wide variety of cryptographic attacks. A comparison of computation and communication costs demonstrates that the proposed scheme is more cost-effective than existing schemes. Full article
(This article belongs to the Special Issue IoT in Smart Mobile Health Application)
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Review

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36 pages, 4005 KiB  
Review
Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions
by Manar Osama, Abdelhamied A. Ateya, Mohammed S. Sayed, Mohamed Hammad, Paweł Pławiak, Ahmed A. Abd El-Latif and Rania A. Elsayed
Sensors 2023, 23(17), 7435; https://doi.org/10.3390/s23177435 - 25 Aug 2023
Cited by 12 | Viewed by 3518
Abstract
Healthcare 4.0 is a recent e-health paradigm associated with the concept of Industry 4.0. It provides approaches to achieving precision medicine that delivers healthcare services based on the patient’s characteristics. Moreover, Healthcare 4.0 enables telemedicine, including telesurgery, early predictions, and diagnosis of diseases. [...] Read more.
Healthcare 4.0 is a recent e-health paradigm associated with the concept of Industry 4.0. It provides approaches to achieving precision medicine that delivers healthcare services based on the patient’s characteristics. Moreover, Healthcare 4.0 enables telemedicine, including telesurgery, early predictions, and diagnosis of diseases. This represents an important paradigm for modern societies, especially with the current situation of pandemics. The release of the fifth-generation cellular system (5G), the current advances in wearable device manufacturing, and the recent technologies, e.g., artificial intelligence (AI), edge computing, and the Internet of Things (IoT), are the main drivers of evolutions of Healthcare 4.0 systems. To this end, this work considers introducing recent advances, trends, and requirements of the Internet of Medical Things (IoMT) and Healthcare 4.0 systems. The ultimate requirements of such networks in the era of 5G and next-generation networks are discussed. Moreover, the design challenges and current research directions of these networks. The key enabling technologies of such systems, including AI and distributed edge computing, are discussed. Full article
(This article belongs to the Special Issue IoT in Smart Mobile Health Application)
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