Special Issue: Optimizing Ambient Assisted Living (AAL) with the Internet of Medical Things in Pervasive Healthcare

AAL can be implemented either as a technical method or as an adaptive approach to data processing and modeling. Here, Artificial intelligence (AI) plays a crucial role in AAL for connecting healthcare systems and organizations, making data-driven clinical decision-making possible. AI, particularly in infectious diseases has advanced through deep learning and the analysis of big healthcare data. Despite the promise of Ambient Intelligence systems in healthcare, there are hurdles to overcome, such as hardware differences, protocols, gateways, sensing capabilities, and data interpretation. These technologies are essential to address the healthcare needs of an aging population and the challenges posed by chronic diseases like dementia. Healthcare professionals are looking to leverage technological advancements to protect senior populations from infectious diseases, making Ambient Assisted Living in Pervasive Healthcare through the Internet of Medical Things a feasible solution.

This special issue focuses on inspecting the innovative amalgamation of Ambient Assisted Living and the Internet of Medical Things, focusing on practical applications and addressing the associated challenges.

The scope of the special issue includes, but is not limited to the following topics.


  1. Human-centered design for user-friendly IoMT devices
  2. Interoperability standards for seamless data exchange
  3. Remote monitoring of chronic conditions with wearable IoMT devices
  4. Ethical considerations in AAL-IoMT: patient privacy and consent
  5. Energy-efficient IoMT sensors and battery management
  6. Real-time fall detection and emergency response systems
  7. Telemedicine integration with AAL-IoMT for enhanced consultations
  8. Big data management and analysis for healthcare insights
  9. Ambient intelligence for aging in place and elderly care
  10. AAL-IoMT applications in rehabilitation and physical therapy
  11. Human-AI collaboration in medical diagnosis and treatment
  12. Regulatory frameworks and compliance in pervasive healthcare
  13. Integration of AAL-IoMT with electronic health records (EHR)


→ Manuscript Submission Due: May 5, 2024

→ First-Round Acceptance Notification: July 5, 2024

→ Submission of Revised Version: August 25, 2024

→ Notification of Final Decision: October 15, 2024

→ Tentative publication date: To be defined later in accordance with CIT's publication schedule



Aleksandra Kawala-Sterniuk, Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Poland

Emails: a.kawala-sterniuk@po.edu.pl ; biomed.bspl@gmail.com

Adam Sudol, Institute of Environmental Engineering and Biotechnology, Faculty of Natural and Technical Sciences, University of Opole, Poland

Email: dasiek@uni.opole.pl

Mariusz Pelc, School of Computing and Mathematical Sciences, University of Greenwich, London, UK

Email: m.pelc@greenwich.ac.uk

Radek Martinek, Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, Ostrava, Czech Republic

Email: radek.martinek@vsb.cz



Prospective authors are directed to submit their manuscripts only through the Guest Editors, contacting them by the above e-mail(s). When submitting the manuscripts, it is imperative to follow the respective requirements listed on the following link:


The submitted manuscripts will be reviewed by at least two independent experts and the review process will be conducted through CIT's journal management system OJS