Evidence map›Paper›PMID 28646914›Full record

SynthesisJournal of neuroengineering and rehabilitation2017

Markerless motion capture systems as training device in neurological rehabilitation: a systematic review of their use, application, target population and efficacy.

Els Knippenberg, Jonas Verbrugghe, Ilse Lamers, Steven Palmaers, Annick Timmermans, Annemie Spooren

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of neuroengineering and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06667115 (The Effectiveness of Proprioceptive Neuromuscular Facilitation Exercise With Virtual Reality Motion Capture Gaming System and Concurrent Feedback on Early Shoulder Muscle Activation in Healthy Individuals), which is not on this map. Cited by 61 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 7 pooled it
–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.

NCT06667115 nacompletednot on this mapstarted 2023, after this paper: background citation

The Effectiveness of Proprioceptive Neuromuscular Facilitation Exercise With Virtual Reality Motion Capture Gaming System and Concurrent Feedback on Early Shoulder Muscle Activation in Healthy Individuals

TypeinterventionalSponsorDominican University New YorkRan2023 to 2023Enrolled30ConditionsExercise, HealthyArmsPNF exercise, PNF exercise with virtual reality gaming, PNF with concurrent feedback
3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  12. Kinect-based assessment of proximal arm non-use after a stroke.Journal of neuroengineering and rehabilitation · 2018
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  19. Combined hamstrings lengthening and patellar tendon retensioning for neurogenic knee flexion in spastic diplegia.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025
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1 more citing papers are in PubMed but not listed here.

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

6 authors.

Els KnippenbergPXL University College, Guffenslaan 39, 3500, Hasselt, Belgium. Els.Knippenberg@PXL.BE.
Jonas VerbruggheREVAL - Rehabilitation Research Center, BIOMED - Biomedical Research Institute, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.
Ilse LamersREVAL - Rehabilitation Research Center, BIOMED - Biomedical Research Institute, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.
Steven PalmaersPXL University College, Guffenslaan 39, 3500, Hasselt, Belgium.
Annick TimmermansREVAL - Rehabilitation Research Center, BIOMED - Biomedical Research Institute, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.
Annemie SpoorenPXL University College, Guffenslaan 39, 3500, Hasselt, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClient-centred task-oriented training is important in neurological rehabilitation but is time consuming and costly in clinical practice. The use of technology, especially motion capture systems (MCS) which are low cost and easy to apply in clinical practice, may be used to support this kind of training, but knowledge and evidence of their use for training is scarce. The present review aims to investigate 1) which motion capture systems are used as training devices in neurological rehabilitation, 2) how they are applied, 3) in which target population, 4) what the content of the training and 5) efficacy of training with MCS is.

methodsA computerised systematic literature review was conducted in four databases (PubMed, Cinahl, Cochrane Database and IEEE). The following MeSH terms and key words were used: Motion, Movement, Detection, Capture, Kinect, Rehabilitation, Nervous System Diseases, Multiple Sclerosis, Stroke, Spinal Cord, Parkinson Disease, Cerebral Palsy and Traumatic Brain Injury. The Van Tulder's Quality assessment was used to score the methodological quality of the selected studies. The descriptive analysis is reported by MCS, target population, training parameters and training efficacy.

resultsEighteen studies were selected (mean Van Tulder score = 8.06 ± 3.67). Based on methodological quality, six studies were selected for analysis of training efficacy. Most commonly used MCS was Microsoft Kinect, training was mostly conducted in upper limb stroke rehabilitation. Training programs varied in intensity, frequency and content. None of the studies reported an individualised training program based on client-centred approach.

conclusionMotion capture systems are training devices with potential in neurological rehabilitation to increase the motivation during training and may assist improvement on one or more International Classification of Functioning, Disability and Health (ICF) levels. Although client-centred task-oriented training is important in neurological rehabilitation, the client-centred approach was not included. Future technological developments should take up the challenge to combine MCS with the principles of a client-centred task-oriented approach and prove efficacy using randomised controlled trials with long-term follow-up.

trial registrationProspero registration number 42016035582 .

Indexed as

HumansMotionNervous System DiseasesRehabilitationStroke RehabilitationMotion capture systemNervous system diseasesRehabilitationSystematic review

Identifiers

PMID28646914
PMCPMC5482943

What OpenQuestion holds

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Registered trials

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.