Evidence map›Paper›PMID 34489633›Full record

ArticleFrontiers in neuroscience2021

Enhancing Performance of SSVEP-Based Visual Acuity via Spatial Filtering.

Xiaowei Zheng, Guanghua Xu, Chengcheng Han, Peiyuan Tian, Kai Zhang, Renghao Liang, Yaguang Jia, Wenqiang Yan, Chenghang Du, Sicong Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 33% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Xiaowei ZhengSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Guanghua XuSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Chengcheng HanSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Peiyuan TianSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Kai ZhangSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Renghao LiangSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Yaguang JiaSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Wenqiang YanSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Chenghang DuSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Sicong ZhangSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to enhance the performance of steady-state visual evoked potential (SSVEP)-based visual acuity assessment with spatial filtering methods. Using the vertical sinusoidal gratings at six spatial frequency steps as the visual stimuli for 11 subjects, SSVEPs were recorded from six occipital electrodes (O1, Oz, O2, PO3, POz, and PO4). Ten commonly used training-free spatial filtering methods, i.e., native combination (single-electrode), bipolar combination, Laplacian combination, average combination, common average reference (CAR), minimum energy combination (MEC), maximum contrast combination (MCC), canonical correlation analysis (CCA), multivariate synchronization index (MSI), and partial least squares (PLS), were compared for multielectrode signals combination in SSVEP visual acuity assessment by statistical analyses, e.g., Bland-Altman analysis and repeated-measures ANOVA. The SSVEP signal characteristics corresponding to each spatial filtering method were compared, determining the chosen spatial filtering methods of CCA and MSI with a higher performance than the native combination for further signal processing. After the visual acuity threshold estimation criterion, the agreement between the subjective Freiburg Visual Acuity and Contrast Test (FrACT) and SSVEP visual acuity for the native combination (0.253 logMAR), CCA (0.202 logMAR), and MSI (0.208 logMAR) was all good, and the difference between FrACT and SSVEP visual acuity was also all acceptable for the native combination (-0.095 logMAR), CCA (0.039 logMAR), and MSI (-0.080 logMAR), where CCA-based SSVEP visual acuity had the best performance and the native combination had the worst. The study proved that the performance of SSVEP-based visual acuity can be enhanced by spatial filtering methods of CCA and MSI and also recommended CCA as the spatial filtering method for multielectrode signals combination in SSVEP visual acuity assessment.

Indexed as

canonical correlation analysismultielectrode signals combinationspatial filteringsteady-state visual evoked potentialvisual acuity

Identifiers

PMID34489633
PMCPMC8417433
OpenAlexW3195188823

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.