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Applied Sciences
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Advanced Technologies in Physical Therapy and Rehabilitation
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Advanced Technologies in Physical Therapy and Rehabilitation

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

Deadline for manuscript submissions: 10 August 2025 | Viewed by 1010

Special Issue Editors

Dr. Rodrigo Martín-San Agustín

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Guest Editor
Clinimetry and Technological Development in Therapeutic Exercise Research Group (CLIDET), Department of Physiotherapy, University of Valencia, 46010 Valencia, Spain
Interests: sports injuries; biomechanics; rehabilitation; exercise science; physical rehabilitation; musculoskeletal disorders; injury prevention; sport biomechanics; sports science; muscle function; clinimetry
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Mariano Gacto

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Guest Editor
Department of Physical Therapy, Faculty of Medicine, CEIR Campus Mare Nostrum, University of Murcia, Instituto de Investigación Biosanitaria-Virgen de la Arrixaca (IMIB), El Palmar, 30120 Murcia, Spain
Interests: health data science; psychometrics; pain; chronic conditions; disability
Special Issues, Collections and Topics in MDPI journals
Dr. Adrian Escriche-Escuder

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Guest Editor
Clinimetry and Technological Development in Therapeutic Exercise Research Group (CLIDET), Department of Physiotherapy, University of Valencia, 46010 Valencia, Spain
Interests: exercise; musculoskeletal disorders; physical therapy; rehabilitation; sports medicine; tendinopathy
Dr. Noemí Moreno-Segura

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Guest Editor
Clinimetry and Technological Development in Therapeutic Exercise Research Group (CLIDET), Department of Physiotherapy, University of Valencia, 46010 Valencia, Spain
Interests: sports injuries; biomechanics; rehabilitation; neurology; physical rehabilitation; musculoskeletal disorders; injury prevention; sport biomechanics; sports science; muscle function; manual therapy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the last decade, the inclusion of new technologies in the field of physical therapy has led to major advances in assessment and intervention methods related to its praxis. From electronic devices that improve patient assessment to the use of VR or telerehabilitation combined with AI, the therapeutic options have expanded, and some of these may represent alternatives to traditional methods. This Special Issue aims to collect studies that address new methods of patient assessment supported by the technology or propose new interventions that have been developed using the technology.

This Special Issue will publish high-quality, original research papers in the overlapping fields of the following:

  • Telerehabilitation;
  • Artificial intelligence;
  • Virtual reality;
  • Mobile applications;
  • Technological therapeutic tools;
  • Electronic evaluation devices.

Dr. Rodrigo Martín-San Agustín
Prof. Dr. Mariano Gacto
Dr. Adrian Escriche-Escuder
Dr. Noemí Moreno-Segura
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. 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

  • telerehabilitation
  • artificial intelligence
  • virtual reality
  • mobile applications
  • technological therapeutic tools
  • electronic evaluation devices

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

Published Papers (2 papers)

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Research

13 pages, 1749 KiB  
Article
Precision and Reliability of a Dynamometer for Trunk Extension Strength and Steadiness Assessment
by Franciele Parolini, Márcio Goethel, Johan Robalino, Klaus Becker, Manoela Sousa, Barbara C. Pulcineli, Ulysses F. Ervilha, João Paulo Vilas-Boas and Rubim Santos
Appl. Sci. 2025, 15(8), 4081; https://doi.org/10.3390/app15084081 - 8 Apr 2025
Viewed by 204
Abstract
Low back pain is a major cause of disability worldwide, often associated with deficits in trunk extensor strength control. Accurate assessment of trunk extension strength control is crucial for diagnosing impairments and monitoring interventions. This study evaluated the reliability of a dynamometry-based protocol [...] Read more.
Low back pain is a major cause of disability worldwide, often associated with deficits in trunk extensor strength control. Accurate assessment of trunk extension strength control is crucial for diagnosing impairments and monitoring interventions. This study evaluated the reliability of a dynamometry-based protocol for isometric trunk extension strength control assessment. Twenty-eight healthy volunteers (9 females, 19 males) completed two sessions, seven days apart. A single-point load cell system, encapsulated within a 3D-printed structure and connected to a Delsys system® at a sampling frequency of 2000 Hz, was used for data acquisition. Participants performed maximal voluntary contractions (MVC) and submaximal isometric contractions (SMVC) guided by trapezoidal visual feedback. Key outcome variables included peak force, mean force, and force steadiness. Calibration demonstrated high accuracy (R2 = 1) with a low root mean square error (0.55 N). Test–retest analysis showed excellent reliability for peak force (ICC = 0.81, SEM = 0.50, MDC = 1.39), mean force (ICC = 0.93, SEM = 0.17, MDC = 1.08), and steadiness (ICC = 0.87, SEM = 0.85, MDC = 2.36), with no significant intersession differences (p > 0.05). This study demonstrates the high reliability of using dynamometry to assess trunk extension strength during MVC and SMVC, endorsing the dynamometer as a tool for functional assessment and the development of personalized rehabilitation and training strategies. Full article
(This article belongs to the Special Issue Advanced Technologies in Physical Therapy and Rehabilitation)
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11 pages, 531 KiB  
Article
The Effects of a Balance Training Program With and Without Transcranial Direct Current Stimulation on Dynamic Balance in Recreationally Active Young Adults: A Randomized Controlled Trial
by Mariana Sánchez-Barbadora, Noemí Moreno-Segura, Francesc Medina-Mirapeix and Rodrigo Martín-San Agustín
Appl. Sci. 2025, 15(4), 1807; https://doi.org/10.3390/app15041807 - 10 Feb 2025
Viewed by 646
Abstract
(1) Background: Dynamic balance plays a crucial role in maintaining ankle stability and preventing injuries, particularly in active individuals. Instability devices are commonly utilized to enhance ankle strength and stability, and there is growing interest in integrating these tools with novel modalities, such [...] Read more.
(1) Background: Dynamic balance plays a crucial role in maintaining ankle stability and preventing injuries, particularly in active individuals. Instability devices are commonly utilized to enhance ankle strength and stability, and there is growing interest in integrating these tools with novel modalities, such as transcranial direct current stimulation (tDCS), to maximize benefits. This study aimed to compare the effects of a 4-week balance training program performed on a selective instability device alone or combined with tDCS on dynamic balance in recreationally active young adults. (2) Methods: Twenty participants were randomized into two groups: one performing balance exercises on the Blackboard device and another combining the exercises with tDCS. Dynamic balance was measured at baseline, midway, and post-intervention using the Y-Balance Test and the Emery Test. (3) Results: Both groups showed significant improvements in balance performance, with increased reach distances and stability times (p = 0.001 and p = 0.04, respectively), after 4 weeks. However, the addition of tDCS did not yield additional benefits over balance training alone (p > 0.05). (4) Conclusions: These findings underscore the value of instability device-based balance training for enhancing dynamic balance while questioning the utility of tDCS as a combined therapy in healthy individuals. Full article
(This article belongs to the Special Issue Advanced Technologies in Physical Therapy and Rehabilitation)
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