Evidence map›Paper›PMID 33269073›Full record

ArticleHealth information science and systems2021

A method of VR-EEG scene cognitive rehabilitation training.

Wenjun Tan, Yang Xu, Pan Liu, Chunyan Liu, Yujin Li, Yanrui Du, Chao Chen, Yuping Wang, Yanchun Zhang

Erratum issuedAbstract read
In one paragraph

Article in Health information science and systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. [Research progress on emotion recognition by combining virtual reality environment and electroencephalogram signals].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Review
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  4. Article
  5. Article
  6. Article
  7. Article
  8. Affective States and Virtual Reality to Improve Gait Rehabilitation: A Preliminary Study.International journal of environmental research and public health · 2022
    Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Wenjun TanKey Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, 110189 China.ORCID 0000-0002-3840-9528
Yang XuKey Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, 110189 China.
Pan LiuKey Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, 110189 China.
Chunyan LiuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China.
Yujin LiKey Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, 110189 China.
Yanrui DuKey Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, 110189 China.
Chao ChenKey Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin, 300384 China.
Yuping WangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China.
Yanchun ZhangCyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, 510006 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual reality technology can intuitively provide patients of neuropsychological diseases with an almost real environment for cognitive rehabilitation training . In this paper, virtual reality technology is used to construct specific scenes that are universal and related to MCI patients to restore and train patients' scene memory cognitive ability to help patients strengthen or gradually restore scene memory cognitive ability. The construction of virtual reality scenes with different contents such as life, environment, transportation and tourism, real-time detection is carried out in combination with EEG signals of patients in different scenes. The experimental results of the analysis of EEG signals of patients shows that memory rehabilitation training is strengthened by using specific stimulation scenes.

Indexed as

EEGMCIRehabilitation trainingVR

Identifiers

PMID33269073
PMCPMC7686436

What OpenQuestion holds

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Registered trials

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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.