Special Issue "Advances in Intelligent and Knowledge based systems for Elderly and Remote Patient Care Monitoring"

Submission Deadline: 31 October 2020 (closed)
Guest Editors
Prof. Md. Zia Ur Rahman, K L University, India.
Prof. Navarun Gupta, University of Bridgeport, USA.
Prof. Wahidah Mansor, University Teknologi MARA, Malaysia.
Prof. Simon Winberg, University of Cape Town, South Africa.


Research advances in healthcare have facilitated the integration of technologies to develop smart, cost-effective, reliable and persistent patient care monitoring systems. In this context, physiological signal conditioning is an important step which is much needed during physiological data acquisition, processing, transmission, encryption, reception, decryption and decision making. In most of the chronic diseases, it is reported that the patient is not treated in a timely manner. Hence, research efforts should focus on developing intelligent signal processing and analysis techniques in remote patient care systems that are used to deliver healthcare information effectively. The new techniques to transmit physiological signals and medical images offer promising methods for enhancing health care monitoring with reducing risks and cost. This special issue will focus on cutting edge intelligent signal and image processing techniques for remote patient care systems by identifying new perspectives also highlighting potential research issues and challenges. Specifically, this special issue will demonstrate how the emerging technologies like signal processing applications, diffusion tensor imaging, machine learning techniques, deep learning, big data analytics, cloud computing, cryptography, block chain technology and internet of medical things could be used in future healthcare monitoring systems.

Artificial Intelligence, Big-data analytics, Crypto security, Cloud Optimization, Computer Vision, Decision support systems, Intelligent Systems, Knowledge based systems, Internet of Medical Things, Remote Health Care Monitoring.

Published Papers