This special issue aims to enhance patient outcomes and quality of life while reducing rehabilitation costs and encouraging patient autonomy. Today, there are more biomedical devices for monitoring patients' health, but it is limited to rehabilitation. To make the earlier identification, this proposal invites the development of organic, flexible, and wearable devices for encouraging the rehabilitation of patients. This proposal aims to assess and evaluate innovative technologies and methodologies in bioelectronic devices for the diagnosis, treatment, and overall management of rehabilitation patients, as well as to examine the possibilities these technologies hold for the future of healthcare. Smart devices are potentially attractive to rehabilitation patients due to their ease of use. This smart device helps to predict the consequences occurring in less time and alerts before danger persists. In this special issue, organic, flexible, and wearable smart devices are focused on Rehabilitation patients.

Recommended topics (but not limited to)

  • Cost-benefit analysis of Next-Generation Smart Sensors in Physical Rehabilitation
  • Internet of Medical Things (IoMT) and Artificial Intelligence (AI) in Rehabilitation
  • Patient-Centered Approaches to Rehabilitation using Intelligent Sensors
  • Ethics and privacy in rehabilitation devices: Data security and patient consent
  • Biomedical/Bioelectronic Devices in Rehabilitation
  • Wearable devices for rehabilitation outcomes assessment: functional improvement and patient satisfaction
  • Economic impact of wearable devices in rehabilitation: ROI and healthcare costs evaluation
  • Biodegradable and Biocompatible Organic Devices for Rehabilitation Applications
  • The potential for wearable devices to improve access to rehabilitation for underserved populations, including those in remote or rural areas
  • The development and validation of rehabilitation algorithms and protocols for wearable devices

Important dates

Submission deadline: 31 May, 2024

Authors notification: 30 September, 2024

Revision submission: 31 October, 2024

Completion of Special Issue: December, 2024

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Original and unpublished works on any of the topics aforementioned or related are welcome.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. Rajanikanth Aluvalu, Professor, Dept of IT, Chaitanya Bharathi Institute of Technology, Hyderabad, India, Post Doctoral Research Fellow, COPE labs, Lusófona University, Portugal, Member, Artificial Intelligence Group, Department of Computer Engineering, Lusófona University, Portugal, email:

Dr. Uma Maheswari V, Associate Professor, Dept of CSE, Chaitanya Bharathi Institute of Technology, Hyderabad, India, email:

Distinguished Professor Dr. Biswajeet Pradhan, Director, Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), School of Civil & Environmental Engineering, Faculty of Engineering and IT, University of Technology Sydney, NSW 2007, Australia, email:

Dr. Mahesh (Michael) S. Raisinghani, Professor of Management Information Systems in the MBA (Executive track) at TWU’s College of Business, USA, email:

Dr. Venkatachalam K, Department of Applied Cybernetics, University of Hradec Kralove , Hradec Kralove, Hradec Kralove, Czech Republic, email: