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Wearable Sensors for Rehabilitation

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 363

Special Issue Editors


E-Mail Website
Guest Editor
Faculty of Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada
Interests: mobility; assistive technology; wearable sensors; mHealth; multimedia; disability
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Mechanical Engineering, University of Ottawa, 161 Louis Pasteur, Ottawa, ON K1N 6N5, Canada
Interests: wearable sensors; mHealth; signal processing; mobility
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Physical rehabilitation is an essential component of the healthcare system, enabling people to move beyond their deficits to achieve their goals, maintain quality of life, and engage with their community. Understanding a person’s mobility status, mental state, etc. is essential for providing informed and high quality rehabilitation. Wearable sensors are becoming important tools to achieve this understanding, especially since data can be collected outside the clinic or lab to provide quantitative information in a person’s chosen environment.

This Special Issue accepts submissions of high-quality research papers and review articles in the topic of wearable sensor applications for rehabilitation. Submissions must be original contributions that have not been published before and are not currently under review by other journals.

Potential topics of interest include but are not limited to:

  • Wearable sensors systems for outcome measurement;
  • Machine learning approaches to extract knowledge from wearable sensor systems;
  • Embedded sensor systems in wearable assistive devices (i.e., prostheses, orthoses, etc.);
  • Wearable sensor systems to characterize mental state;
  • Sensor approaches to enhance current clinical outcome measures;
  • Smartphone applications related to rehabilitation that employ sensor or imaging approaches.

Prof. Edward Lemaire
Prof. Natalie Baddour
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 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. 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

  • Wearable sensors
  • Rehabilitation
  • Mobility
  • Mental health
  • mHealth
  • Assistive technology
  • Smartphones
  • Machine learning
  • Artificial intelligence

Published Papers

There is no accepted submissions to this special issue at this moment.
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