Evidence map›Paper›PMID 27034953›Full record

ArticleBioMed research international2016

A Virtual Reality-Cycling Training System for Lower Limb Balance Improvement.

Chieh Yin, Ya-Hsin Hsueh, Chun-Yu Yeh, Hsin-Chang Lo, Yi-Ting Lan

Registry-linked trialAbstract read
In one paragraph

Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05179330 (Visual Feedback in Lower Limb Rehabilitation), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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.

NCT05179330 nacompletednot on this mapstarted 2020, after this paper: background citation

Visual Feedback in Lower Limb Rehabilitation: the Alpha and the OMEGO®

TypeinterventionalSponsorFondazione Policlinico Universitario Agostino Gemelli IRCCSRan2020 to 2021Enrolled24ConditionsBrain Injuries, Brain Injuries, Traumatic, Brain Injuries, VascularArmsOMEGO®
3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. 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.

Chieh YinDepartment of Electronic Engineering, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan.
Ya-Hsin HsuehDepartment of Electronic Engineering, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan.
Chun-Yu YehSchool of Physical Therapy, Chung Shan Medical University, Taichung, Taiwan.
Hsin-Chang LoDepartment of Product Design, Ming Chuan University, Taoyuan, Taiwan.
Yi-Ting LanRoom of Physical Therapy, Chung Shan Medical University Hospital, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke survivors might lose their walking and balancing abilities, but many studies pointed out that cycling is an effective means for lower limb rehabilitation. However, during cycle training, the unaffected limb tends to compensate for the affected one, which resulted in suboptimal rehabilitation. To address this issue, we present a Virtual Reality-Cycling Training System (VRCTS), which senses the cycling force and speed in real-time, analyzes the acquired data to produce feedback to patients with a controllable VR car in a VR rehabilitation program, and thus specifically trains the affected side. The aim of the study was to verify the functionality of the VRCTS and to verify the results from the ten stroke patients participants and to compare the result of Asymmetry Ratio Index (ARI) between the experimental group and the control group, after their training, by using the bilateral pedal force and force plate to determine any training effect. The results showed that after the VRCTS training in bilateral pedal force it had improved by 0.22 (p = 0.046) and in force plate the stand balance has also improved by 0.29 (p = 0.031); thus both methods show the significant difference.

Indexed as

Virtual Reality Exposure TherapyAgedComputer SimulationExerciseFemaleHumansLower ExtremityMaleMiddle AgedStrokeStroke RehabilitationUser-Computer InterfaceWalking

Identifiers

PMID27034953
PMCPMC4806653

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.