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

SCOPE:

Independent living and elder care could be completely transformed by the adoption of Ambient Assisted Living (AAL) and Internet of Things (IoMT) technologies in healthcare industry. AAL monitors health and helps in times of need; it also helps people with everyday tasks by using wearables, sensors, and artificial intelligence. IoMT enables remote vital sign monitoring, medication adherence, and early health issue detection by connecting wearables, sensors, and medical devices to the internet. Data integration and analytics, improved AI and machine learning, interoperability and standardization, privacy and security, user-centric design and cost effectiveness are some of the optimization techniques for pervasive healthcare. AAL systems simplify the flow of data from IoMT devices and sensors to provide comprehensive health insights and preemptive treatments. Artificial Intelligence (AI) is utilized for data analysis, health risk prediction, care plan personalization and prompt alerting. Sensitive medical data is protected by the implementation of strong security measures and data encryption procedures. Cost-effectiveness investigates accessible and scalable AAL and IoMT solutions while user-centric design encourages technology uptake and user engagement.

Improved quality of life for senior citizens, early disease detection and prevention, lower healthcare costs because of proactive care and remote monitoring and better care coordination thanks to real-time data sharing between family members healthcare providers and caregivers are just a few advantages of optimized AAL and IoMT. With the help of these technology, people can live longer, healthier lives in their own homes with greater independence, autonomy and safety. However, challenges include ethical considerations, addressing the digital literacy gap among older adults, and establishing clear regulations and standards for data privacy, security and interoperability. By focusing on user-centric design, data privacy, and ethical considerations the potential of this transformative technology can be realized empowering older adults to live independently and healthier lives while reducing healthcare costs. This special issue aims to publish research that not only advances theoretical frameworks but also provides practical insights for the implementation of AAL and IoMT technologies in real-world healthcare settings.

TOPICS:

  • Integration of AAL and IoMT for Chronic Disease Management
  • Ethical Considerations in Pervasive Healthcare Technologies
  • Human-Centric Design for AAL and IoMT Solutions
  • Interdisciplinary Approaches to Overcoming Data Security Challenges
  • Role of Edge Computing in Enhancing Healthcare Delivery
  • Personalized Medicine through IoMT and AAL
  • Standardization and Interoperability in Pervasive Healthcare
  • Telehealth and Virtual Care in AAL and IoMT Ecosystems
  • User Acceptance and Adoption of Smart Healthcare Devices
  • Big Data Analytics for Predictive Healthcare
  • Regulatory Frameworks for AAL and IoMT Implementation
  • Innovations in Sensor Technologies for Ambient Assisted Living
  • Social Impacts of Pervasive Healthcare Technologies

IMPORTANT DATES

  • Manuscript submission deadline: 30Th June, 2024
  • Notification of acceptance: 30Th November, 2024
  • Submission of final revised paper: 15Th December, 2024
  • Publication of special issue (tentative): As per journal Norms


MAIN GUEST EDITOR:

Prof. Aleksandra Kawala-Sterniuk, Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland. E-mail: a.kawala-sterniuk@po.edu.pl, biomed.bspl@gmail.com

GUEST EDITORS:

Prof. Adam Sudol, Institute of Environmental Engineering and Biotechnology, Faculty of Natural and Technical Sciences, University of Opole, Kominka 6/6A, 45-035 Opole, Poland. E-mail: dasiek@uni.opole.pl

Prof. Mariusz Pelc, School of Computing and Mathematical Sciences, University of Greenwich, London, SE10 9LS, UK. E-mail: m.pelc@greenwich.ac.uk

Prof. Radek Martinek, Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic. E-mail: radek.martinek@vsb.cz