Evidence map›Paper›PMID 37191865›Full record

ArticleMedical & biological engineering & computing2023

Effect of 3D paradigm synchronous motion for SSVEP-based hybrid BCI-VR system.

Lan Niu, Jianxiong Bin, Jun Kong Shuai Wang, Gege Zhan, Jie Jia, Lihua Zhang, Zhongxue Gan, Xiaoyang Kang

Abstract read
PubMed Publisher
In one paragraph

Article in Medical & biological engineering & computing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Lan NiuLaboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI & Robotics, Institute of Meta-Medical, Academy for Engineering & Technology, Ministry of Education, FudanUniversity, Shanghai, China.
Jianxiong BinLaboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI & Robotics, Institute of Meta-Medical, Academy for Engineering & Technology, Ministry of Education, FudanUniversity, Shanghai, China.
Jun Kong Shuai WangJi Hua Laboratory, Foshan, 528000, Guangdong Province, China.
Gege ZhanJi Hua Laboratory, Foshan, 528000, Guangdong Province, China.
Jie JiaDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Lihua ZhangLaboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI & Robotics, Institute of Meta-Medical, Academy for Engineering & Technology, Ministry of Education, FudanUniversity, Shanghai, China.
Zhongxue GanLaboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI & Robotics, Institute of Meta-Medical, Academy for Engineering & Technology, Ministry of Education, FudanUniversity, Shanghai, China.
Xiaoyang KangLaboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI & Robotics, Institute of Meta-Medical, Academy for Engineering & Technology, Ministry of Education, FudanUniversity, Shanghai, China. xiaoyang_kang@fudan.edu.cn.ORCID http://orcid.org/0000-0003-4372-9531

Funding

Ji Hua Laboratory X190021TB190Ji Hua Laboratory X190021TB193National Natural Science Foundation of China Grant Nos. 61904038National Natural Science Foundation of China U1913216Shanghai Sailing Program U19YF1403600
6 · The paper itself

Abstract

A brain-computer interface (BCI) system and virtual reality (VR) are integrated as a more interactive hybrid system (BCI-VR) that allows the user to manipulate the car. A virtual scene in the VR system that is the same as the physical environment is built, and the object's movement can be observed in the VR scene. The four-class three-dimensional (3D) paradigm is designed and moves synchronously in virtual reality. The dynamic paradigm may affect their attention according to the experimenters' feedback. Fifteen subjects in our experiment steered the car according to a specified motion trajectory. According to our online experimental result, different motion trajectories of the paradigm have various effects on the system's performance, and training can mitigate this adverse effect. Moreover, the hybrid system using frequencies between 5 and 10 Hz indicates better performance than those using lower or higher stimulation frequencies. The experiment results show a maximum average accuracy of 0.956 and a maximum information transfer rate (ITR) of 41.033 bits/min. It suggests that a hybrid system provides a high-performance way of brain-computer interaction. This research could encourage more interesting applications involving BCI and VR technologies.

Indexed as

Brain-Computer InterfacesVirtual RealityElectroencephalographyEvoked Potentials, VisualHumansPhotic StimulationBrain computer interfaceElectroencephalogramSteady state visually evoked potentialStimulation frequencyVirtual reality

Identifiers

PMID37191865

What OpenQuestion holds

Textmetadata
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.