Evidence map›Paper›PMID 40948973›Full record

ArticleFrontiers in bioengineering and biotechnology2025

User-centered development of a personalized adaptive mirror therapy for upper-limb post-stroke rehabilitation using virtual reality and myoelectric control.

Paolo De Pasquale, Daniela De Bartolo, Marta Russo, Denise J Berger, Antonella Maselli, Daniele Borzelli, Emma Colamarino, Donatella Mattia, Christian Nissler, Markus Nowak and 6 more

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Paolo De Pasquale *IRCCS Centro Neurolesi Bonino Pulejo, Messina, Italy.
Daniela De Bartolo *Clinical Laboratory of Experimental Neurorehabilitation, IRCCS Fondazione Santa Lucia, Rome, Italy.
Marta RussoLaboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome, Italy.
Denise J BergerLaboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome, Italy.
Antonella MaselliLaboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome, Italy.
Daniele BorzelliLaboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome, Italy.
Emma ColamarinoDepartment of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy.
Donatella MattiaNeuroelectrical Imaging and Brain Computer Interface Lab, IRCCS Fondazione Santa Lucia, Rome, Italy.
Christian NisslerInstitute of Robotics and Mechatronics, German Aerospace Center (DLR), Weßling, Germany.
Markus NowakInstitute of Robotics and Mechatronics, German Aerospace Center (DLR), Weßling, Germany.
Elena FalomoNEEEU Spaces GmbH, Berlin, Germany.
Javier Soto MorrasNEEEU Spaces GmbH, Berlin, Germany.
Moco Raffael SchillerNEEEU Spaces GmbH, Berlin, Germany.
Claudio CastelliniInstitute of Robotics and Mechatronics, German Aerospace Center (DLR), Weßling, Germany.
Giovanni MoroneClinical Laboratory of Experimental Neurorehabilitation, IRCCS Fondazione Santa Lucia, Rome, Italy.
Andrea d'AvellaLaboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cerebral stroke often results in significant motor deficits, including contralateral hemiparesis of the upper limb. Rehabilitation protocols with high-intensity and task-specific exercises can improve these deficits. Recent technological advancements in virtual reality (VR), myoelectric control, and exergames may be exploited to enhance rehabilitation effectiveness. However, novel rehabilitation approaches combining these novel methodologies have rarely been developed with the active involvement of both therapists and patients. Methods: An interdisciplinary team developed a novel system, Validation of the Virtual Therapy Arm (VVITA), for post-stroke upper-limb rehabilitation combining VR, myoelectric control, and exergames using a user-centered design (UCD) approach. The VVITA hardware includes a head-mounted VR display, motion tracking devices integrated in the VR system, and wireless armbands to record electromyographic (EMG) signals, providing an interactive virtual environment for immersive rehabilitation exercises implementing a virtual mirror therapy. Assistance and task difficulty are adjusted dynamically based on patient performance, promoting active participation and motor learning. Results: The development process involved iterative phases, involving focus groups with stroke patients, therapists, and researchers. A pilot study with four stroke survivors assessed the system's feasibility, demonstrating its potential for personalized and adaptive rehabilitation. Conclusion: The VVITA system enhances mirror therapy by integrating VR and myoelectric control, providing a tailored approach to upper-limb post-stroke rehabilitation. The UCD approach ensured the system met patient and therapist needs, showing promise for improving motor recovery and rehabilitation outcomes.

Indexed as

mirror therapymyoelectric controlstroke rehabilitationuser-centered designvirtual reality

Identifiers

PMID40948973
PMCPMC12423055

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.