Long Term Health Monitoring with Physiological Signals

Dear Colleagues,

The human body constantly gives out physiological signals, such as heat, electrical impulses from muscles, brain, and other organs. Since the dawn of modern medicine, these signals have been used to assess and, in some cases, determine the cause of health crisis. From these ancient roots, modern medicine has grown and diversified. However, the idea of crisis is still preserved. Like Hippocrates of Kos, modern medicine springs into action when a health crisis occurs. This event-driven setup is very resource efficient because health services are only used if there is reason to do so. However, sometimes a disease might have progressed beyond a point where effective treatment is available before symptoms trigger a diagnosis. In the past, resource efficiency by far outweighed the potential benefits of continuous physiological signal monitoring. However, in recent years, technological advances have meant that communication, storage, and processing resources have become almost omnipresent at a competitive price point. Having recognized the transformative nature of this technology, for this topic, entitled “Long-Term Health Monitoring with Physiological Signals”, we seek answers to the question: How can we use physiological signal measurements to translate the resource abundance into improved outcomes for patients? We invite papers that recognize the potential of gathering and analysing big physiological data for possible publication in one of the three journals: Diagnostics, International Journal of Environmental Research and Public Health, or Signals. A possible application area is the creation of disease-specific solutions where physiological signals are analysed with advanced artificial intelligence algorithms. Examples include atrial fibrillation detection and sleep monitoring in the home environment. Another area of interest is long-term physiological signal analysis for rehabilitation tracking and geriatric care.

Dr. Oliver Faust
Prof. Dr. U Rajendra Acharya
Topic Editors

Deadline for abstract submissions: 31 October 2021.
Deadline for manuscript submissions: 31 December 2021.

Topic Board

Dr. Oliver Faust
E-Mail Website
Topic Editor-in-Chief
College of Business, Technology & Engineering , Sheffield Hallam University, Sheffield S1 1WB, UK
Interests: artificial intelligence; formal methods; biomedical signal processing; service based healthcare; intelligent internet of medical things
Special Issues and Collections in MDPI journals
Prof. Dr. U Rajendra Acharya
grade E-Mail Website1 Website2
Topic Editor-in-Chief
Ngee Ann Polytechnic, SUSS University, Singapore 599489, Singapore
Interests: biomedical signal processing; bioimaging; data mining; visualization; biophysics for better health care design; drug delivery and therapy
Special Issues and Collections in MDPI journals

Keywords

  • physiological signals
  • internet of medical things
  • mobile health
  • long term monitoring
  • artificial intelligence
  • hybrid medical decision support
  • rehabilitation
  • geriatric care

Relevant Journals List

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Diagnostics
diagnostics
3.706 1.4 2011 15.87 Days 1600 CHF Submit
International Journal of Environmental Research and Public Health
ijerph
3.390 3.4 2004 17.79 Days 2300 CHF Submit
Signals
signals
- - 2020 40.09 Days 1000 CHF Submit

Published Papers

This Topic is now open for submission.
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