Evidence map›Paper›PMID 35455824›Full record

ReviewHealthcare (Basel, Switzerland)2022

A Taxonomy for Augmented and Mixed Reality Applications to Support Physical Exercises in Medical Rehabilitation-A Literature Review.

Benjamin Butz, Alexander Jussen, Asma Rafi, Gregor Lux, Jens Gerken

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. The evolution of augmented reality to augment physical therapy: A scoping review.Journal of rehabilitation and assistive technologies engineering
    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

5 authors.

Benjamin ButzInstitute for Innovation Research and Management, Westphalian University of Applied Sciences, 44801 Bochum, Germany.ORCID 0000-0002-8706-2356
Alexander JussenHuman-Computer Interaction Group, Westphalian University of Applied Sciences, 45897 Gelsenkirchen, Germany.ORCID 0000-0003-1122-7350
Asma RafiComputer Graphics Group, Westphalian University of Applied Sciences, 45897 Gelsenkirchen, Germany.ORCID 0000-0001-6496-478X
Gregor LuxComputer Graphics Group, Westphalian University of Applied Sciences, 45897 Gelsenkirchen, Germany.
Jens GerkenHuman-Computer Interaction Group, Westphalian University of Applied Sciences, 45897 Gelsenkirchen, Germany.ORCID 0000-0002-0634-3931

Funding

Ministerium für Wirtschaft, Innovation, Digitalisierung und Energie des Landes Nordrhein-Westfalen Digitale Modellregion: Next Level Sports
6 · The paper itself

Abstract

In the past 20 years, a vast amount of research has shown that Augmented and Mixed Reality applications can support physical exercises in medical rehabilitation. In this paper, we contribute a taxonomy, providing an overview of the current state of research in this area. It is based on a comprehensive literature review conducted on the five databases Web of Science, ScienceDirect, PubMed, IEEE Xplore, and ACM up to July 2021. Out of 776 identified references, a final selection was made of 91 papers discussing the usage of visual stimuli delivered by AR/MR or similar technology to enhance the performance of physical exercises in medical rehabilitation. The taxonomy bridges the gap between a medical perspective (Patient Type, Medical Purpose) and the Interaction Design, focusing on Output Technologies and Visual Guidance. Most approaches aim to improve autonomy in the absence of a therapist and increase motivation to improve adherence. Technology is still focused on screen-based approaches, while the deeper analysis of Visual Guidance revealed 13 distinct, reoccurring abstract types of elements. Based on the analysis, implications and research opportunities are presented to guide future work.

Indexed as

augmented realityexerciseextended realitymedicalmixed realityrehabilitationtherapyvirtual realityvisual cuesvisualization

Identifiers

PMID35455824
PMCPMC9028587

What OpenQuestion holds

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LicenceCC BY
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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.