Evidence map›Paper›PMID 36560328›Full record

ReviewSensors (Basel, Switzerland)2022

Immersion Therapy with Head-Mounted Display for Rehabilitation of the Upper Limb after Stroke-Review.

Klaudia Marek, Igor Zubrycki, Elżbieta Miller

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. 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
–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

7 citing papers in PubMed.

  1. Review
  2. Virtual Pet-Assisted Therapy to Alleviate Symptoms of Long COVID: A Prospective Pilot Interventional Study.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

3 authors.

Klaudia MarekDepartment of Neurological Rehabilitation, Medical University of Lodz, Milionowa 14, 93-113 Lodz, Poland.ORCID 0000-0002-3304-8647
Igor ZubryckiInstitute of Automatic Control, Lodz University of Technology, Stefanowskiego 18, 90-537 Lodz, Poland.ORCID 0000-0002-1229-2173
Elżbieta MillerDepartment of Neurological Rehabilitation, Medical University of Lodz, Milionowa 14, 93-113 Lodz, Poland.ORCID 0000-0002-7029-1857

Funding

"myHand: Single-use and personalizable devices for hand rehabilitation "R/2020 LIDER/50/0203/L-11/19/NCB
6 · The paper itself

Abstract

Immersive virtual therapy technology is a new method that uses head-mounted displays for rehabilitation purposes. It offers a realistic experience that puts the user in a virtual reality. This new type of therapy is used in the rehabilitation of stroke patients. Many patients after this disease have complications related to the upper extremities that limit independence in their everyday life, which affects the functioning of society. Conventional neurological rehabilitation can be supplemented by the use of immersive virtual therapy. The system allows patients with upper limb dysfunction to perform a motor and task-oriented training in virtual reality that is individually tailored to their performance. The complete immersion therapy itself is researched and evaluated by medical teams to determine the suitability for rehabilitation of the upper limb after a stroke. The purpose of this article is to provide an overview of the latest research (2019-2022) on immersive virtual reality with head-mounted displays using in rehabilitation of the upper extremities of stroke patients.

Indexed as

StrokeStroke RehabilitationActivities of Daily LivingHumansImmersionRecovery of FunctionUpper Extremityhead-mounted displayrehabilitationstrokeupper limbvirtual reality

Identifiers

PMID36560328
PMCPMC9785384

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.