sensors-logo

Journal Browser

Journal Browser

Wearable Sensors for Rehabilitation and Remote Health Monitoring

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

Deadline for manuscript submissions: closed (20 February 2025) | Viewed by 516

Special Issue Editor


E-Mail Website
Guest Editor
Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, Diepenbeek, Belgium
Interests: rehabilitation; sport science; biomechanics; sport injuries; musculoskeletal disorders
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The rapid development, miniaturization, and affordability of new sensors and associated technologies has unlocked various possibilities in the field of rehabilitation and physical therapy. These advancements offer promising solutions for remote rehabilitation, particularly when supervised sessions are not possible, such as during interruptions of care, like during the COVID-19 pandemic, or in regions with limited healthcare infrastructure and professionals. Wearable sensors can play a critical role in addressing these challenges by enabling continuous monitoring and supporting rehabilitation outside of traditional clinical settings, but sensor-based rehabilitation can also increase patients' motivation when coupled with gamification and serious games.

A key advantage of technology-supported rehabilitation is the ability to collect a large amount of data while patients perform exercises or daily living activities, such as walking or sit-to-stand movements. These data can provide real-time feedback to patients, improving proprioception and engagement, while clinicians can use the data to adapt rehabilitation programs based on the specific needs and abilities of each patient. The potential applications extend beyond motor functions—such as walking, balance, and coordination—to include cognitive functions, quality of life, and patient autonomy.

This Special Issue, titled "Wearable Sensors for Rehabilitation and Physical Therapy", focuses on the development and validation of innovative sensor-based solutions to support (tele)rehabilitation. It will cover a wide range of topics, including novel sensor technologies for assessing the quality and quantity of motion during rehabilitation, the integration of wearable devices into clinical workflows, and algorithmic approaches used to analyze and interpret sensor data. Importantly, as these technologies advance, they must undergo rigorous validation to ensure their reliability in healthcare settings, especially when coupled with clinical evaluations.

This issue will also highlight the importance of building robust databases and pipelines to seamlessly integrate these new solutions into clinical practice, facilitating the synchronization of telerehabilitation, telemonitoring, and conventional care.

This Special Issue is intended to be inter- and multidisciplinary, addressing the diverse aspects of this rapidly expanding field. We invite contributions that explore the intersection of technology and healthcare, ensuring that these innovative solutions can be effectively validated and applied to improve patient outcomes in rehabilitation and physical therapy.

Dr. Bruno Bonnechère
Guest Editor

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
  • telerehabilitation
  • rehabilitation
  • physical activity
  • motor functions
  • healthcare

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

11 pages, 1267 KiB  
Article
A Practical Cardiovascular Health Assessment for Manual Wheelchair Users During the 6-Minute Push Test
by Maja Goršič, Madisyn R. Adelman, Grace McClatchey and Jacob R. Rammer
Sensors 2025, 25(7), 2313; https://doi.org/10.3390/s25072313 - 5 Apr 2025
Viewed by 290
Abstract
Traditional VO2max testing methods are often impractical for manual wheelchair users, as they rely on lower-body exercise protocols, require specialized equipment, and trained personnel. The 6-Minute Push Test (6MPT) is a widely used cardiovascular assessment that may provide a feasible alternative for [...] Read more.
Traditional VO2max testing methods are often impractical for manual wheelchair users, as they rely on lower-body exercise protocols, require specialized equipment, and trained personnel. The 6-Minute Push Test (6MPT) is a widely used cardiovascular assessment that may provide a feasible alternative for estimating aerobic capacity in this population. This study aimed to develop a predictive model for VO2max using physiological variables recorded during the 6MPT. Twenty-eight participants (14 novice and 14 expert manual wheelchair users) completed the test while wearing a VO2 mask and heart rate monitor. Spearman correlation analysis showed that distance covered during the 6MPT significantly correlated with VO2max (r = 0.685, p < 0.001). A stepwise linear regression identified two predictive models: one using distance alone (R2 = 0.416, p < 0.001) and another incorporating both distance and maximum heart rate (R2 = 0.561, p < 0.001). These models offer practical estimations of VO2max, eliminating separate protocols. Our findings suggest that the 6MPT can serve as a simple, cost-effective alternative to laboratory-based VO2 testing, facilitating routine cardiovascular fitness assessments for manual wheelchair users in clinical and community settings. Future research should focus on validating these models in a larger, more diverse cohort to enhance their generalizability. Full article
(This article belongs to the Special Issue Wearable Sensors for Rehabilitation and Remote Health Monitoring)
Show Figures

Figure 1

Back to TopTop