Introduction

Wearable systems for Scalable computing (W_SC) technologies have become a more prominent area of research to support cost-effective clinically sensitive data for more informed patient monitoring and diagnosis over a secured and intelligent IoT infrastructure. Scalable computing plays an important role in real-time big medical data analytics plays to improve efficiency and enhances the interactions between humans with IoT technology. This call aims to identify innovative W_SC and eHealth solutions that address the various global health issues and which are likely to be appropriate and affordable for use in various environments including low-resource settings, rural areas, and the urbanized world – all of them face their challenges in providing healthcare. There is a need for immediate technological solutions through vital information recognition, interpretation, exchange, and analysis of human affects. Medical wearable and Scalable devices and further eHealth solutions are indispensable in health care delivery as tools for prevention, diagnosis, treatment, and rehabilitation, to complex electronic medical record systems - are promising approaches in the use of information and communication technologies to support health systems and services. The rapid advances in wearable technologies and data acquisition tools have led to the new era of Big data, where massive heterogeneous data are collected by different sensors. The enhancing accessibility of the data resources gives new scopes for health monitoring, while the data aggregated from multiple sensors to make strong decisions remains a challenging problem. Smart wearable and Scalable devices and associated technologies have been growing exponentially that compromise accurate, low-cost, extreme-low power, less mobile sensors powered, less-powered processors, and low-powered connectivity.

It is predicted that biomedical services will be provided remotely in an extensive platform, for instance, wearable and Scalable sensing and monitoring to envisage illnesses, and intelligent medical help based on artificial intelligence schemes. To reach this aim, disruptive medical IoT and W_SC for distributed healthcare systems can give some vital insights. All networked enabled connected devices exchanges their information via a heterogeneous connection, which is changing the global business, generating revenue, providing smarter interactions, and improving efficiencies. The machine-to-machine communication and connectivity technologies give tremendous efforts towards the ubiquitous IoT-enabled wearable devices where the devices/objects are performed well intelligently. The body-worn sensors perform excellently for strengthening the IoT and W_SC for big medical data acquiring, networking, processing, analyzing, and visualizing for a wide range of societal personal advancements.

Recommended topics (but not limited to)

• Wearable and Scalable sensors and pervasive swarm intelligence for smart healthcare
• Smart IoT devices for sustainable W_SC
• Future concepts of medical IoT and biomedical devices through Scalable computing
• Federated learning-assisted healthcare systems using W_SC services
• Network integration and optimization services for W_SC
• AI and Big data-enabled W_SC in mobile hospitals
• The future direction of mHealth, telehealth, telemedicine, and personalized medicine and wearables
• Smart healthcare infrastructures based on federated learning in future smart cities
• Computational intelligence in big medical data analysis
• Green computing, networking, and communications in biomedical systems and homecare
• Digital healthcare data analysis with federated learning
• Cloud/Fog/Edge-depended W_SC across medical diagnosis centers
• Personalized medical devices and approaches for IoT and W_SC
• Computer vision in IoT and W_SC
• Security and privacy of W_SC enabled IoT devices
• Deployments and applications of IoT and W_SC technologies

Important dates

Submission deadline: 31 December, 2024

Authors notification: 31 March, 2025

Revision submission: 31 May, 2025

Submission guidelines

Original and unpublished works on any of the topics aforementioned or related are welcome. The SCPE journal has a rigorous peer-reviewing process and papers will be reviewed by at least two referees. All submitted papers must be formatted according to the journal's instructions, which can be found here.

During submission please select a Special Issue that you want to submit to and provide this information in the Comments for the Editor field.

Guest Editors

Lead: Dr. Chinmay Chakraborty, Birla Institute of Technology, Mesra, India, email: cchakrabarty@bitmesra.ac.in

Dr. Chinmay Chakraborty, SMIEEE, MACM is an Assistant Professor at Birla Institute of Technology, Mesra, India. He has a diverse academic and professional background with experience in various research and teaching positions. Dr. Chakraborty completed a Post-doctoral fellowship at the Federal University of Piauí, Brazil, and also visited the University of Malta in Europe. His main research interests include the Internet of Medical Things (IoMT), AI/ML, Communication & Computing, Telemedicine, m-Health/e-health, and Medical Imaging. Dr. Chakraborty has a strong publication record with over 200 articles in peer-reviewed international journals, conferences, and book chapters. In addition to his research work, Dr. Chakraborty is actively involved in the academic community. He serves as an Editorial Board Member for various journals and conferences.

Prof. Bhuvan Unhelkar, SMIEEE, University of South Florida, USA, email: bunhelkar@usf.edu

Dr. Bhuvan Unhelkar (BE, MDBA, MSc, PhD; FACS; PSM-I, CBAP®) is an accomplished IT professional and Professor of IT at the University of South Florida, Sarasota-Manatee (Lead Faculty). He is also Founding Consultant at MethodScience. He has mastery in Business Analysis & Requirements Modeling, Software Engineering, Big Data Strategies, Agile Processes, Mobile Business and Green IT. His domain experience is banking, financial, insurance, government and telecommunications. Bhuvan is a thought-leader and a prolific author of 25 books – including Big Data Strategies for Agile Business and The Art of Agile Practice (Taylor and Francis/CRC Press, USA). Recent Cutter executive reports (Boston, USA) include Psychology of Agile, Business Transformation, Collaborative Business & Enterprise Agility and Agile in Practice-a Composite approach. He is a winner of the Computerworld Object Developer Award (1995), Consensus IT Professional Award (2006) and IT Writer Award (2010). He has a Doctorate in the area of “Object Orientation” from the University of Technology, Sydney, in 1997. Bhuvan is Fellow of the Australian Computer Society, IEEE Senior Member, Professional Scrum Master, Life member of Computer Society of India and Baroda Management Association, Member of SDPS, Past President of Rotary Sarasota Sunrise (Florida) & St. Ives (Sydney), Paul Harris Fellow (+6), Discovery volunteer at NSW parks and wildlife, and a previous TiE Mentor.

Prof. Saïd Mahmoudi, SMIEEE, Université de MonsUniversité de Lille. Mons, Belgium, email: said.mahmoudi@umons.ac.be

Prof. Saïd Mahmoudi received his MS in Computer Science from the LIFL Laboratory, University of Lille1, France in 1999. He obtained his PhD in Computer Science at the University of Lille1, France in December 2003. Between 2003 and 2005, he was Associate Lecturer at the University of Lille3, France. Since September 2005, he is Associate Professor at the Faculty of Engineering of the University of Mons, Belgium. His research interests include artificial intelligence, internet of things, images processing, computer aided diagnosis, 2D and 3D retrieval and indexing, Cloud Computing, Big Data and large-scale multimedia management. His supervision experience includes more than 50 Masters’ dissertations and eight PhD thesis. He participates in numerous scientific and academic activities (member of the organizing committee for some conferences, reviewer for several internationals conferences and journals). Prof. Saïd MAHMOUDI was involved in several projects including industrial and academic researchers, in an international context. Prof Saïd Mahmoudi has published more than seventy papers at reputed international journals including IEEE Transaction, Pattern recognition Letters, Elsevier, Springer, Wiley, InderScience. He has also published more than 80 papers in top international conferences sponsored by IEEE, ACM, and Springer. He has served as a Technical Program Committee (TPC) member at renowned international conferences including: EMBC, HCIST, BHI, MobiSPC, ICNAS, ICDSD, IWMCS, IMETI, IEEE ICEME, ICCSP. He is also serving as reviewer for international journals including IEEE Transactions, Elsevier, Springer and Computer Methods and Programs in Biomedicine, Multimedia Tools and Applications, International Journal of Computer Assisted Radiology and Surgery, Information Sciences, Pattern Recognition Letters, Journal of Digital Imaging, IET Computer Vision, IEEE Transactions on Medical Imaging Prof Saïd MAHMOUDI has published over then 150 journal and conference papers to date. He participates in numerous scientific and academic activities (member of the organizing committee for some conferences, reviewer for several internationals conferences and journals).