Advances in Sensor-Based Devices and Wearables for Clinical Rehabilitation

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 305

Special Issue Editors


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Guest Editor
Department of Physiotherapy, Universitat Internacional de Catalunya, Barcelona, Spain
Interests: physiotherapy; musculoskeletal manipulations; exercise therapy; clinical reasoning; evidence-based practice; patients-reported outcomes; biomedical instrumentation; electronics; 3D printing
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Guest Editor
Institute of Clinical Physiology, National Research Council of Italy (CNR-IFC), Pisa, Italy
Interests: neuroscience; neurophysiology; neuroengineering; eurodevelopment disorders; digital health
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Guest Editor Assistant
1. Bioengineering Institute of Technology, Universitat Internacional de Catalunya (UIC), 08190 Barcelona, Spain
2. Automatic Control Department, Universitat Politècnica de Catalunya (UPC-BarcelonaTECH), 08034 Barcelona, Spain
Interests: computational modelling; multiphysics simulation; finite element method (FEM); biomedical signal processing; biomedical imaging; dental implants
Special Issues, Collections and Topics in MDPI journals

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Guest Editor Assistant
Bioengineering Institute of Technology, Universitat Internacional de Catalunya (UIC), 08195 Barcelona, Spain
Interests: biomedical instrumentation; biosensors; electronics; optical design; photospectrometry; nano/microfabrication; microfluidics
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Guest Editor Assistant
Department of Electronic Engineering, Eastern Barcelona School of Engineering (EEBE), Technical University of Catalonia–BarcelonaTech (UPC), E-08019 Barcelona, Spain
Interests: electric power conversion; energy processing and management of renewable energy systems; bioengineering; sensor design; ultrasonic systems; transducers modeling; machine/deep learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue delves into the intricate intersection of sensor technology and clinical rehabilitation, covering a range of topics, including the development of advanced sensor-based devices and wearables tailored to aid in clinical rehabilitation processes.

Articles within this Special Issue may explore the integration of sensors with rehabilitation equipment, monitoring patient progress through wearable devices, and leveraging analytical data for personalized rehabilitation programs.

The content is designed to appeal to researchers seeking a deeper understanding of the technological advancements in this field, and healthcare professionals engaged in rehabilitation will find valuable insights into how these innovations can improve patient outcomes and contribute to more effective and personalized rehabilitation strategies. Overall, the Special Issue aims to facilitate collaboration and the exchange of knowledge among experts working in the fields of sensor technology and clinical rehabilitation for the benefit of both research and practical applications.

This Special Issue welcomes a broad spectrum of contributions, ranging from original research articles to systematic literature reviews. Researchers are encouraged to submit their original findings in the form of research articles, showcasing novel insights and advancements in sensor-based devices and wearables for clinical rehabilitation. Additionally, systematic literature reviews providing a comprehensive analysis and synthesis of existing research in this domain are also welcome.

Dr. Andoni Carrasco-Uribarren
Dr. Lucia Billeci
Guest Editors

Dr. Xavier Marimon
Dr. Portela Alejandro
Dr. Oliver Millan
Guest Editor Assistants

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. Applied Sciences 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 2400 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

  • wearables
  • clinical rehabilitation
  • biomedical instrumentation

Published Papers (1 paper)

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Research

16 pages, 1867 KiB  
Article
Immersive Virtual Reality High-Intensity Aerobic Training to Slow Parkinson’s Disease: The ReViPark Program
by Gustavo Rodríguez-Fuentes, Pablo Campo-Prieto and José Ma Cancela-Carral
Appl. Sci. 2024, 14(11), 4708; https://doi.org/10.3390/app14114708 - 30 May 2024
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Abstract
Intense exercise can be neuromodulatory and neuroprotective against Parkinson’s disease (PD). Indoor cycling is a good and safe option for this population, but some barriers (monotonous and repetitive environment, lack of monitoring, and an inability to compete with others) could limit its use. [...] Read more.
Intense exercise can be neuromodulatory and neuroprotective against Parkinson’s disease (PD). Indoor cycling is a good and safe option for this population, but some barriers (monotonous and repetitive environment, lack of monitoring, and an inability to compete with others) could limit its use. Immersive virtual reality (IVR) could be a possible solution to some of these drawbacks, increasing patient motivation and thus adherence to forced exercise programs using cycloergometers. A double-blind, randomized, controlled clinical trial was conducted to explore the feasibility and effects of the ReViPark program (high-intensity pedaling + IVR for 3 months with two sessions per week) on PD progression. In all, 52 people with PD were allocated to the ReViPark group (n = 30; 70.87 ± 6.67 years) and smart cycloergometer group (n = 22; 70.59 ± 6.67 years). This program was feasible, with no adverse effects (no significant Simulator Sickness Questionnaire symptoms and a low negative experience rating for the Game Experience Questionnaire (0.04/4)), no dropouts, high adherence, and good usability (System Usability Scale score of 82.90%). The ReViPark group showed significant improvements in functionality, quality of life, and disease progression as measured by their balance, gait and risk of falling (Timed Up and Go p = 0.028; Tinetti test p = 0.046), PDQ-39 scores (p = 0.035), and MDS-UPDRS scores (p = 0.001). This program is feasible and could lead to improvements in the functional parameters, quality of life, and symptomatology of the participants. Full article
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