Table of Content

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

  • Open Access


    Adaptive Signal Enhancement Unit for EEG Analysis in Remote Patient Care Monitoring Systems

    Ch. Srinivas, K. Chandrabhushana Rao
    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1801-1817, 2021, DOI:10.32604/cmc.2021.014981
    (This article belongs to this Special Issue: Advances in Intelligent and Knowledge based systems for Elderly and Remote Patient Care Monitoring)
    Abstract In this paper we propose an efficient process of physiological artifact elimination methodology from brain waves (BW), which are also commonly known as electroencephalogram (EEG) signal. In a clinical environment during the acquisition of BW several artifacts contaminates the actual BW component. This leads to inaccurate and ambiguous diagnosis. As the statistical nature of the EEG signal is more non-stationery, adaptive filtering is the more promising method for the process of artifact elimination. In clinical conditions, the conventional adaptive techniques require many numbers of computational operations and leads to data samples overlapping and instability of the algorithm used. This causes… More >

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