Special Issue "Empowering eHealth with Smart Internet of Things (IoT) Medical Devices"

Special Issue Editors

Guest Editor
Prof. Dr. Abbes Amira

Qatar University, Doha, Qatar
Website 1 | Website 2 | E-Mail
Interests: reconfigurable computing; image processing; connected health; high performance computing
Guest Editor
Prof. Dr. Nazim Agoulmine

Universite d'Evry Val d'Essonne, IBISCLab., Evry, France
Website 1 | Website 2 | E-Mail
Interests: wired and wireless network management and control; autonomic networks; sensor networks
Guest Editor
Prof. Dr. Amine Bermak

Department of Electronic and Computer Engineering; Hong Kong University of Science and Technology; Clear Water Bay, Kowloon, Hong Kong; Hamad bin Khalifa University
Website 1 | Website 2 | E-Mail
Interests: CMOS image sensors; mixed analog-digital IC; circuits and systems for signal image sensors and microsystems
Guest Editor
Assoc. Prof. Faycal Bensaali

Department of Electrical Engineering, College of Engineering, Qatar University, P. O. Box 2713, Doha, Qatar
Website 1 | Website 2 | E-Mail
Interests: custom computing using field programmable gate array; digital image and signal processing; embedded systems; H/S codesign
Guest Editor
Dr. George Dimitrakopoulos

Department of Informatics and Telematics, Harokopio University of Athens, Kallithea, Greece
Website 1 | Website 2 | E-Mail
Phone: +30 210 9549 426
Interests: intelligent transportation systems; wireless communications; cognitive networks

Special Issue Information

Dear Colleagues,

The use of IoT with medical devices within a connected health environment promotes the quick flow of information and enables easy access to it. In such an environment, the patient’s vital parameters are transmitted by medical devices onto secure cloud based platforms where they are stored, aggregated and analyzed. IoT helps to store data for millions of patients and perform analysis in real-time, promoting an evidence-based medicine system.

This Special Issue will focus on pioneering future directions and innovation in smart wearable embedded solutions and IoT with applications in connected health, biomedical signal processing and smart environments. More specifically, it aims to emphasize the challenges for medical devices caused by the IoT, highlight the main research gaps in the area of connected health and smart wearable devices and respond to the following questions: What recent advances have been made in intelligent real-time health data collection? What important advances have been made to empower eHealth with novel IoT devices? Has data interpretation and fusion improved significantly in recent years? How did we improve the security and reliability of medical data communication? How has IoT technology been used to make the eHealth environment smarter? How will recent progress in smart biosensors improve future eHealth? How is Cloud Computing power improving our capacity to manage patients and diseases whilst delivering innovative eHealth services?

These important questions are among others raised in this Special Issue with the aim of provoking a response from the readers. The topics of this Special Issue include, but are not limited to, the following:

  • Hardware architectures for IoT
  • Embedded systems in the healthcare domain
  • Energy harvesting for IoT devices
  • Battery-efficient IoT devices
  • Heterogeneous, reconfigurable, SoC and other IoT-specific architectures for connected health
  • Emerging technologies for IoT
  • Efficient communication protocols for Healthcare IoT
  • Failure detection and recovery for Healthcare IoT
  • Self-management for Healthcare IoT
  • IoT2IoT healthcare devices communication
  • Wellness monitoring through smart medical devices
  • Information sharing among IoT devices
  • Data privacy and security solutions for IoT Healthcare
  • Machine learning and pattern recognition on IoT devices
  • Complexity reduction approaches for IoT
  • Data fusion on IoT devices
  • Big data analytics for IoT-enabled connected health systems
  • Multi-agent systems for IoT-distributed computing
  • Management algorithms for m-health solutions
  • Emergency management in an IoT context
  • IoT for medical and healthcare applications
  • Applications of IoT medical devices

Prof. Dr. Nazim Agoulmine
Prof. Dr. Abbes Amira
Prof. Dr. Amine Bermak
Assoc. Prof. Faycal Bensaali
Dr. George Dimitrakopoulos
Guest Editor

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 papers will be 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. Journal of Sensor and Actuator Networks is an international peer-reviewed open access quarterly 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 350 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

  • eHealth
  • biosensors
  • embedded architecture
  • interference mitigation
  • energy efficient and harvesting
  • IoT
  • reliable communications
  • medical data mining
  • security, privacy preservation
  • IoT cloud convergence

Published Papers (2 papers)

View options order results:
result details:
Displaying articles 1-2
Export citation of selected articles as:

Research

Open AccessArticle Symmetric Encryption Relying on Chaotic Henon System for Secure Hardware-Friendly Wireless Communication of Implantable Medical Systems
J. Sens. Actuator Netw. 2018, 7(2), 21; https://doi.org/10.3390/jsan7020021
Received: 7 April 2018 / Revised: 5 May 2018 / Accepted: 8 May 2018 / Published: 11 May 2018
PDF Full-text (7852 KB) | HTML Full-text | XML Full-text
Abstract
Healthcare remote devices are recognized as a promising technology for treating health related issues. Among them are the wireless Implantable Medical Devices (IMDs): These electronic devices are manufactured to treat, monitor, support or replace defected vital organs while being implanted in the human
[...] Read more.
Healthcare remote devices are recognized as a promising technology for treating health related issues. Among them are the wireless Implantable Medical Devices (IMDs): These electronic devices are manufactured to treat, monitor, support or replace defected vital organs while being implanted in the human body. Thus, they play a critical role in healing and even saving lives. Current IMDs research trends concentrate on their medical reliability. However, deploying wireless technology in such applications without considering security measures may offer adversaries an easy way to compromise them. With the aim to secure these devices, we explore a new scheme that creates symmetric encryption keys to encrypt the wireless communication portion. We will rely on chaotic systems to obtain a synchronized Pseudo-Random key. The latter will be generated separately in the system in such a way that avoids a wireless key exchange, thus protecting patients from the key theft. Once the key is defined, a simple encryption system that we propose in this paper will be used. We analyze the performance of this system from a cryptographic point of view to ensure that it offers a better safety and protection for patients. Full article
Figures

Figure 1

Open AccessArticle An Interface for IoT: Feeding Back Health-Related Data to Parkinson’s Disease Patients
J. Sens. Actuator Netw. 2018, 7(1), 14; https://doi.org/10.3390/jsan7010014
Received: 25 January 2018 / Revised: 2 March 2018 / Accepted: 9 March 2018 / Published: 12 March 2018
PDF Full-text (2729 KB) | HTML Full-text | XML Full-text
Abstract
This paper presents a user-centered design (UCD) process of an interface for Parkinson’s disease (PD) patients for helping them to better manage their symptoms. The interface is designed to visualize symptom and medication information, collected by an Internet of Things (IoT)-based system, which
[...] Read more.
This paper presents a user-centered design (UCD) process of an interface for Parkinson’s disease (PD) patients for helping them to better manage their symptoms. The interface is designed to visualize symptom and medication information, collected by an Internet of Things (IoT)-based system, which will consist of a smartphone, electronic dosing device, wrist sensor and a bed sensor. In our work, the focus is on measuring data related to some of the main health-related quality of life aspects such as motor function, sleep, medication compliance, meal intake timing in relation to medication intake, and physical exercise. A mock-up demonstrator for the interface was developed using UCD methodology in collaboration with PD patients. The research work was performed as an iterative design and evaluation process based on interviews and observations with 11 PD patients. Additional usability evaluations were conducted with three information visualization experts. Contributions include a list of requirements for the interface, results evaluating the performance of the patients when using the demonstrator during task-based evaluation sessions as well as opinions of the experts. The list of requirements included ability of the patients to track an ideal day, so they could repeat certain activities in the future as well as determine how the scores are related to each other. The patients found the visualizations as clear and easy to understand and could successfully perform the tasks. The evaluation with experts showed that the visualizations are in line with the current standards and guidelines for the intended group of users. In conclusion, the results from this work indicate that the proposed system can be considered as a tool for assisting patients in better management of the disease by giving them insights on their own aggregated symptom and medication information. However, the actual effects of providing such feedback to patients on their health-related quality of life should be investigated in a clinical trial. Full article
Figures

Figure 1

Back to Top