Evidence map›Paper›PMID 37568195›Full record

Trial reportJournal of neuroengineering and rehabilitation2023

Robotic arm training in neurorehabilitation enhanced by augmented reality - a usability and feasibility study.

Alexandra Charlotte de Crignis, Salome-Thamar Ruhnau, Matthias Hösl, Jérémy Lefint, Tamara Amberger, Jürgen Dressnandt, Hans Brunner, Friedemann Müller

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Characterizing the Effects of Adding Virtual and Augmented Reality in Robot-Assisted Training.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024
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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

8 authors at 3 institutions in 1 country.

Alexandra Charlotte de CrignisSchön Klinik Bad Aibling, Bad Aibling, Germany.
Salome-Thamar RuhnauBEC GmbH, Pfullingen, Germany.
Matthias HöslSchön Klinik Bad Aibling, Bad Aibling, Germany.
Jérémy LefintFraunhofer Institute for Manufacturing, Engineering and Automation IPA, Stuttgart, Germany.
Tamara AmbergerSchön Klinik Bad Aibling, Bad Aibling, Germany.
Jürgen DressnandtSchön Klinik Bad Aibling, Bad Aibling, Germany.
Hans BrunnerSchön Klinik Bad Aibling, Bad Aibling, Germany.
Friedemann MüllerSchön Klinik Bad Aibling, Bad Aibling, Germany. FMueller@schoen-klinik.de.
Schön Klinik Bad Aibling · DEFraunhofer Institute for Manufacturing Engineering and Automation · DESchön Klinik Vogtareuth · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobotic therapy and serious gaming support motor learning in neurorehabilitation. Traditional monitor-based gaming outputs cannot adequately represent the third dimension, whereas virtual reality headsets lack the connection to the real world. The use of Augmented Reality (AR) techniques could potentially overcome these issues. The objective of this study was thus to evaluate the usability, feasibility and functionality of a novel arm rehabilitation device for neurorehabilitation (RobExReha system) based on a robotic arm (LBR iiwa, KUKA AG) and serious gaming using the AR headset HoloLens (Microsoft Inc.).

methodsThe RobExReha system was tested with eleven adult inpatients (mean age: 64.4 ± 11.2 years; diagnoses: 8 stroke, 2 spinal cord injury, 1 Guillain-Barré-Syndrome) who had paretic impairments in their upper limb. Five therapists administered and evaluated the system. Data was compared with a Reference Group (eleven inpatients; mean age: 64.3 ± 9.1 years; diagnoses: 10 stroke, 1 spinal cord injury) who trained with commercially available robotic therapy devices (ArmeoPower or ArmeoSpring, Hocoma AG). Patients used standardized questionnaires for evaluating usability and comfort (Quebec User Evaluation of Satisfaction with assistive technology [QUEST]), workload (Raw Task Load Index [RTLX]) and a questionnaire for rating visual perception of the gaming scenario. Therapists used the QUEST, the System Usability Scale and the short version of the User Experience Questionnaire.

resultsTherapy with the RobExReha system was safe and feasible for patients and therapists, with no serious adverse events being reported. Patients and therapists were generally satisfied with usability. The patients' usability ratings were significantly higher in the Reference Group for two items of the QUEST: reliability and ease of use. Workload (RTLX) ratings did not differ significantly between the groups. Nearly all patients using the RobExReha system perceived the gaming scenario in AR as functioning adequately despite eight patients having impairments in stereoscopic vision. The therapists valued the system's approach as interesting and inventive.

conclusionsWe demonstrated the clinical feasibility of combining a novel robotic upper limb robot with an AR-serious game in a neurorehabilitation setting. To ensure high usability in future applications, a reliable and easy-to-use system that can be used for task-oriented training should be implemented.

trial registrationEthical approval was obtained and the trial was registered at the German Clinical Trials Register (DRKS00022136).

Indexed as

Augmented RealityNeurological RehabilitationRobotic Surgical ProceduresSpinal Cord InjuriesStrokeStroke RehabilitationAgedFeasibility StudiesHumansMiddle AgedReproducibility of ResultsActive video gamingAugmented realityNeurorehabilitationRobotic therapyStrokeVirtual reality

Identifiers

PMID37568195
PMCPMC10422755
OpenAlexW4385752624

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.