Evidence map›Paper›PMID 39452035›Full record

ArticleBrain sciences2024

Mixed Reality-Based Smart Occupational Therapy Personalized Protocol for Cerebellar Ataxic Patients.

Michela Franzò, Franco Marinozzi, Alessia Finti, Marco Lattao, Dante Trabassi, Stefano Filippo Castiglia, Mariano Serrao, Fabiano Bini

Abstract read
In one paragraph

Article in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

8 authors.

Michela FranzòDepartment of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 00196 Rome, Italy.ORCID 0000-0001-6955-7534
Franco MarinozziDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00185 Rome, Italy.
Alessia FintiDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0009-0003-9658-7044
Marco LattaoDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00185 Rome, Italy.
Dante TrabassiDepartment of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 00196 Rome, Italy.ORCID 0000-0002-4739-3441
Stefano Filippo CastigliaDepartment of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 00196 Rome, Italy.ORCID 0000-0001-5329-5197
Mariano SerraoDepartment of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 00196 Rome, Italy.ORCID 0000-0003-3031-680X
Fabiano BiniDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-5641-1189

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOccupational therapy (OT) is an essential component of patient care, and it is especially beneficial if focused on meaningful activities. For ataxic patients, traditional procedures are currently the most efficient, although without specific guidelines and suggestions for virtual reality integration. In this context, this study proposes Hybrid Smart Rehabilitation (HSR) based on mixed reality (MR) as an aid in overcoming limitations of the traditional OT procedures.

methodsMR-HSR is designed specifically for ataxic patients and developed in Unity with the Holographic Remoting setting for run-time intervention on the scene. The subject reaches a book and grabs it with their hand inside a holographic guide with audio-visive feedback. Hand trajectories acquired from eight ataxic patients and eight healthy subjects were compared and new variables were analyzed to evaluate the performance. The Trust in Automation questionnaire was submitted to assess the opinion of the patients.

resultsPatients confirmed their trust in the developer and in the improvement that this system can bring to their rehabilitation. The "total time" and "sway area" of the trajectory were statistically significant and, together with the deviation of the trajectory from the main axis of the guide, although not statistically significant, made it possible to build a classifier.

conclusionsThe patient-specific MR-HSR can be considered as an integrative tool for assessing the subject's condition by analyzing new quantitative variables which, if matched to the Scale for the Assessment and Rating of Ataxia (SARA), could be the basis of a new index to assess the progressiveness of ataxia.

Indexed as

ataxiamixed realityneurorehabilitationoccupational therapy

Identifiers

PMID39452035
PMCPMC11506775

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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.