Special Issue "Advances in Biomedical Signal Processing, Machine Learning and Sensors for Healthcare Applications"

A special issue of Technologies (ISSN 2227-7080). This special issue belongs to the section "Information and Communication Technologies".

Deadline for manuscript submissions: 1 October 2018

Special Issue Editors

Guest Editor
Dr. Ramaswamy Palaniappan

Reader and Head of Data Science Research Group, School of Computing, University of Kent, Chatham, ME4 4AG, Kent, UK
Website | E-Mail
Interests: biomedical signal processing (such as EEG, ECG and other signals); electrophysiological analysis (for various mental and cardiovascular disorders); brain-computer interface; time-series analysis; biometrics; machine learning (neural networks, genetic algorithms, etc.)
Guest Editor
Dr. Cota Navin Gupta

Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, India
Website | E-Mail
Interests: imaging genetics in psychiatry; electroencephalogram/brain computer interfaces; heart sounds; multimodal algorithms; multivariate analysis; data mining; clinical big data analysis; (portable/wearable) biomedical instrumentation

Special Issue Information

Dear Colleagues,

Biomedical signal processing has seen significant amount of advances in recent times and combined with the tremendous developments in machine learning (such as deep learning) is influencing healthcare monitoring system development and clinical diagnosis. Furthermore, the improvements in sensor technologies, such as wearable, skin-printed and in-ear electrodes and the availability of powerful mobile computing devices are allowing practical, cost effective and personalised healthcare. There has never been a time such as now, in the history of mankind, when multidisciplinary experts in fields of engineering, computer science and medicine have been working synergistically towards improving the quality of life of the population.

This Special Issue on “Advances in Biomedical Signal Processing, Machine Learning and Sensors for Healthcare Applications”, to be published in Technologies will help to promote and demonstrate the usefulness of recent developments in the collection and analysis of biosignals, such as ballistograms (BCG), electroencephalograms (EEG), electrooculograms (EoG), respiration rates (RR), electrocardiograms (ECG), electromyograms (EMG), etc., for various clinical/non-clinical applications related to healthcare. The Special Issue invites papers of a high quality, describing original research in the area, with a particular emphasis on real-world applications.

Dr. Ramaswamy Palaniappan
Dr. Cota Navin Gupta
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Technologies is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 350 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • Advances in biomedical signal analysis
  • Clinical diagnosis and methods
  • Healthcare monitoring system developments
  • Improved hardware developments
  • Machine learning for healthcare
  • Personalised healthcare
  • Rehabilitation
  • Wearable healthcare
  • Cognition and Neuroimaging
  • Multivariate and Multimodal algorithms

Published Papers

This special issue is now open for submission.
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