Evidence map›Paper›PMID 32452815›Full record

ArticleJMIR mHealth and uHealth2020

Augmented Reality-Based Rehabilitation of Gait Impairments: Case Report.

Jeremia Philipp Oskar Held, Kevin Yu, Connor Pyles, Janne Marieke Veerbeek, Felix Bork, Sandro-Michael Heining, Nassir Navab, Andreas Rüdiger Luft

Open access · goldAbstract readCase Reports
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

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  19. Towards Wearable Augmented Reality in Healthcare: A Comparative Survey and Analysis of Head-Mounted Displays.International journal of environmental research and public health · 2023
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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 5 institutions in 3 countries.

Jeremia Philipp Oskar Held *Division of Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich and University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0001-5373-2000
Kevin Yu *University Hospital Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.ORCID 0000-0002-4856-1806
Connor PylesJohns Hopkins Applied Physics Laboratory, Johns Hopkins University, Laurel, MD, United States.ORCID 0000-0003-4712-5700
Janne Marieke VeerbeekDivision of Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich and University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0002-6337-6780
Felix BorkComputer Aided Medical Procedures and Augmented Reality, Technical University of Munich, Munich, Germany.ORCID 0000-0002-9646-6846
Sandro-Michael HeiningDepartment of Trauma Surgery, University of Zurich and University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0002-6085-2315
Nassir NavabComputer Aided Medical Procedures and Augmented Reality, Technical University of Munich, Munich, Germany.ORCID 0000-0002-6032-5611
Andreas Rüdiger LuftDivision of Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich and University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0001-9865-7382
University of Zurich · CHJohns Hopkins University · USJohns Hopkins University Applied Physics Laboratory · USTechnical University of Munich · DETUM Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGait and balance impairments are common in neurological diseases, including stroke, and negatively affect patients' quality of life. Improving balance and gait are among the main goals of rehabilitation. Rehabilitation is mainly performed in clinics, which lack context specificity; therefore, training in the patient's home environment is preferable. In the last decade, developed rehabilitation technologies such as virtual reality and augmented reality (AR) have enabled gait and balance training outside clinics. Here, we propose a new method for gait rehabilitation in persons who have had a stroke in which mobile AR technology and a sensor-based motion capture system are combined to provide fine-grained feedback on gait performance in real time.

objectiveThe aims of this study were (1) to investigate manipulation of the gait pattern of persons who have had a stroke based on virtual augmentation during overground walking compared to walking without AR performance feedback and (2) to investigate the usability of the AR system.

methodsWe developed the ARISE (Augmented Reality for gait Impairments after StrokE) system, in which we combined a development version of HoloLens 2 smart glasses (Microsoft Corporation) with a sensor-based motion capture system. One patient with chronic minor gait impairment poststroke completed clinical gait assessments and an AR parkour course with patient-centered performance gait feedback. The movement kinematics during gait as well as the usability and safety of the system were evaluated.

resultsThe patient changed his gait pattern during AR parkour compared to the pattern observed during the clinical gait assessments. He recognized the virtual objects and ranked the usability of the ARISE system as excellent. In addition, the patient stated that the system would complement his standard gait therapy. Except for the symptom of exhilaration, no adverse events occurred.

conclusionsThis project provided the first evidence of gait adaptation during overground walking based on real-time feedback through visual and auditory augmentation. The system has potential to provide gait and balance rehabilitation outside the clinic. This initial investigation of AR rehabilitation may aid the development and investigation of new gait and balance therapies.

Indexed as

Augmented RealityStroke RehabilitationGaitHumansMaleQuality of LifeSmart GlassesWalkingaugmented realitygaitHoloLens 2rehabilitationsensorsstroke

Identifiers

PMID32452815
PMCPMC7284394
OpenAlexW3032380953

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.