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Wearable Sensors and Internet of Things for Biomedical Monitoring

This special issue belongs to the section “Wearables“.

Special Issue Information

Dear Colleagues,

The study and implementation of increasingly miniaturized sensors have led the development of wearable devices connected to Internet, which can be used to monitor ubiquitously physiological parameters and activities, including medical procedures, in several kinds of situations and environments.

The technological advances in wearable sensors, network communication, and data sciences led to the conception of the Internet of Biomedical Things (IoBT) and to the exploration of several possible applications of physical and chemical sensors, ranging from telemedicine intelligence to telerobotics for surgical assistance, from ambient assisted living to cognitive coaching.

Multidisciplinary theoretical and practical skills are often required to collect, process, and analyze the data (signals, images, etc.) obtained by systems of biomedical thing, in order to evaluate biophysical responses and correlate them with context parameters and external factors. To this end, intelligent computational models that deal with real-time big data multimedia information are needed for performance evaluation, adaptive planning, rehabilitation, prevention, or simulation to highlight and discriminate among different pathologies and allow for targeted decisions.

This Special Issue, titled "Wearable Sensors and Internet of Things for Biomedical Monitoring", intends to explore the scientific-technological frontier that underlies the optimal solution of the above-mentioned problems, while involving the development and use of innovative sensors and smart methods for the interpretation of data and scenarios.

Dr. Massimo Martinelli
Dr. Davide Moroni
Prof. Dr. Aleš Procházka
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 submissions that pass pre-check are 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 250 words) can be sent to the Editorial Office for assessment.

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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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.

Keywords

  • biological signals and sensors
  • telemedicine, telemonitoring and telecare
  • artificial intelligence
  • digital signal and image processing
  • biological activities
  • medical activities
  • motion analysis
  • multimedia data analysis
  • internal or external proximity, depth and motion sensors
  • acoustic, magnetic, electric, inductive, mechanical and thermal sensors
  • textile sensors and advanced materials
  • sensors’ data aggregation and fusion
  • pervasive computing on the Internet of Biomedical Things
  • privacy and data protection in the Internet of Biomedical Things
  • machine-learning approaches in the Internet of Biomedical Things
  • wearable sensors and cloud computing on the Internet of Biomedical Things

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Sensors - ISSN 1424-8220