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Bioengineering
Special Issues
Current Trends in Robotic Rehabilitation Technology
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Current Trends in Robotic Rehabilitation Technology

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomedical Engineering and Biomaterials".

Deadline for manuscript submissions: closed (25 August 2025) | Viewed by 1320

Special Issue Editors

Dr. Serena Filoni

E-Mail Website
Guest Editor
IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
Interests: rehabilitation robotics; movement analysis; biomechanics; neurological diseases; motor learning; prostheses; stroke; cerebral palsy; multiple sclerosis
Dr. Raffaello Pellegrino

E-Mail Website
Guest Editor
Università LUM Casamassima (Ba), Istituto di Riabilitazione Residenziale Intensiva Santa Chiara, Lecce, Italy
Interests: rehabilitation robotics; neurological diseases; motor control
Special Issues, Collections and Topics in MDPI journals
Dr. Eduardo Palermo

E-Mail Website
Guest Editor
Department of Mechanical and Aerospace Engineering, SAPIENZA University of Rome, 00184 Rome, Italy
Interests: experimental mechanics; robotic rehabilitation; biomedical and biomechanical measurements
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, a great advancement in robotic rehabilitation technology has been seen. The increasing use of such devices in this field has fueled significant developments in engineering and research towards the design of exoskeletons and end effectors. The current trend sees a growing creation of systems that facilitate training methods centered around task-oriented exercises. These efforts are specifically focused on assistive and rehabilitative robotics, with wide potential rehabilitation capabilities for patients. As of today, robotic rehabilitation is embracing adjacent disciplines, such as the incorporation of virtual reality, neuroimaging, brain–computer interfaces, artificial intelligence. The aim of this Special Issue is to collect more recent research in rehabilitation robotics, in terms of devices and methodologies, comprehensively covering the novel aspects of integration with other technologies.

Dr. Serena Filoni
Dr. Raffaello Pellegrino
Dr. Eduardo Palermo
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. Bioengineering is an international peer-reviewed open access monthly 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 2700 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

  • rehabilitation robotics
  • machine learning and artificial intelligence
  • neurological diseases
  • neuroplasticity
  • virtual reality for rehabilitation

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Published Papers (1 paper)

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24 pages, 2792 KB  
Case Report
Acute and Subacute Effects of Session with the EXOPULSE Mollii Suit in a Multiple Sclerosis Patient: A Case Report
by Serena Filoni, Francesco Romano, Daniela Cardone, Roberta Palmieri, Alessandro Forte, Angelo Di Iorio, Rocco Salvatore Calabrò, Raffaello Pellegrino, Chiara Palmieri, Emanuele Francesco Russo, David Perpetuini and Arcangelo Merla
Bioengineering 2025, 12(9), 994; https://doi.org/10.3390/bioengineering12090994 - 18 Sep 2025
Viewed by 239
Abstract
Multiple sclerosis (MS) is a chronic neurological disease often resulting in motor and autonomic dysfunction. This case report investigates the acute and subacute effects of the EXOPULSE Mollii Suit (EMS), a wearable device capable of delivering transcutaneous electrical nerve stimulation to multiple anatomical [...] Read more.
Multiple sclerosis (MS) is a chronic neurological disease often resulting in motor and autonomic dysfunction. This case report investigates the acute and subacute effects of the EXOPULSE Mollii Suit (EMS), a wearable device capable of delivering transcutaneous electrical nerve stimulation to multiple anatomical regions, in a 43-year-old woman with MS. The patient underwent a clinical evaluation before the EMS treatment, during which central nervous system (CNS) and autonomic nervous system (ANS) responses were monitored using electroencephalography (EEG), heart rate variability (HRV), and infrared thermography (IRT). Immediately after the first EMS application, the clinical evaluation was repeated. The intervention continued at home for one month, followed by a post-treatment evaluation similar to the pre-intervention assessment. Functional evaluations showed improvements in sit-to-stand performance (from 8 s to 6 s), muscle tone (MAS scale for the right side from 3 to 2 and for the left side from 2 to 1), clonus, and spasticity (from 3 to 2). EEG results revealed decreased θ-band power (on average, from 0.394 to 0.253) and microstates’ reorganization. ANS activity modifications were highlighted by both HRV (e.g., RMSSD from 0.118 to 0.0837) and IRT metrics (e.g., nose tip temperature sample entropy from 0.090 to 0.239). This study provides the first integrated analysis of CNS and ANS responses to EMS in an MS patient, combining functional scales with multimodal instrumental measurements, emphasizing the possible advantages EMS for MS treatment. Although preliminary, these results demonstrated the potentiality of the EMS to deliver effective and personalized rehabilitative interventions for MS patients. Full article
(This article belongs to the Special Issue Current Trends in Robotic Rehabilitation Technology)
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