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Recent Advance of IoT Healthcare Applications for E-health

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

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 2741

Special Issue Editor

IRIT/Engineering School on Informatics and Health Information Systems, Champollion University, Toulouse, 81100 Castres, France
Interests: sensors and connected-health devices for e-health; software architectures for IoT-based e-health at scale; semantic reasoning on IoT data

Special Issue Information

Dear Colleagues,

The impressive progress in sensors’ availability, affordability, scope, and ease of use, combined with the opportunities brought forth by data science to put the vast amount of data collected to good use, makes a strong case for the development of IoT systems for the benefit of human health and wellbeing. The Internet of Things is a fundamental pillar of the developing field of P4 (predictive, personalized, preventive, participatory) Medicine.

This Special Issue welcomes contributions reporting novel research related to the application of IoT and sensor systems in the field of healthcare, e-health, and m-health.

We expect papers presenting advances in IoT-based healthcare systems, case studies and experience reports on the use IoT for health, or survey papers in one aspect of this cross-disciplinary field of study.

Prof. Dr. Rémi Bastide
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 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

  • Novel use of sensors for e-health applications 
  • Wireless sensor systems for e-health and m-health 
  • Wearable, ingestible, or implantable sensors in e-health 
  • Safety and security of IoT in e-health systems 
  • Use of IoT, sensors, or connected health devices in clinical studies or outpatient monitoring 
  • Human factors, user acceptance, and ethical issues of IoT in healthcare 
  • Software architectures for IoT and e-health 
  • Technical and semantic interoperability for e-health IoT systems 
  • Analytics and intelligent processing of sensor data in healthcare 
  • monitoring activities of daily living with sensor systems

Published Papers (1 paper)

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Research

37 pages, 8490 KiB  
Article
The SSTeP-KiZ System—Secure Real-Time Communication Based on Open Web Standards for Multimodal Sensor-Assisted Tele-Psychotherapy
by Jonas Primbs, Winfried Ilg, Annika Thierfelder, Björn Severitt, Carolin Sarah Hohnecker, Annika Kristin Alt, Anja Pascher, Ursula Wörz, Heinrich Lautenbacher, Karsten Hollmann, Gottfried Maria Barth, Tobias Renner and Michael Menth
Sensors 2022, 22(24), 9589; https://0-doi-org.brum.beds.ac.uk/10.3390/s22249589 - 07 Dec 2022
Cited by 1 | Viewed by 1990
Abstract
In this manuscript, we describe the soft- and hardware architecture as well as the implementation of a modern Internet of Medical Things (IoMT) system for sensor-assisted telepsychotherapy. It enables telepsychotherapy sessions in which the patient exercises therapy-relevant behaviors in their home environment under [...] Read more.
In this manuscript, we describe the soft- and hardware architecture as well as the implementation of a modern Internet of Medical Things (IoMT) system for sensor-assisted telepsychotherapy. It enables telepsychotherapy sessions in which the patient exercises therapy-relevant behaviors in their home environment under the remote supervision of the therapist. Wearable sensor information (electrocardiogram (ECG), movement sensors, and eye tracking) is streamed in real time to the therapist to deliver objective information about specific behavior-triggering situations and the stress level of the patients. We describe the IT infrastructure of the system which uses open standards such as WebRTC and OpenID Connect (OIDC). We also describe the system’s security concept, its container-based deployment, and demonstrate performance analyses. The system is used in the ongoing study SSTeP-KiZ (smart sensor technology in telepsychotherapy for children and adolescents with obsessive-compulsive disorder) and shows sufficient technical performance. Full article
(This article belongs to the Special Issue Recent Advance of IoT Healthcare Applications for E-health)
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