Evidence map›Paper›PMID 39759080›Full record

ArticleiScience2024

MP: A steady-state visual evoked potential dataset based on multiple paradigms.

Xi Zhao, Shencheng Xu, Kexing Geng, Ting Zhou, Tianheng Xu, Zhenyu Wang, Shilun Feng, Honglin Hu

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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.

Xi ZhaoSchool of Microelectronics, Shanghai University, Shanghai 200444, China.
Shencheng XuSchool of Microelectronics, Shanghai University, Shanghai 200444, China.
Kexing GengSchool of Microelectronics, Shanghai University, Shanghai 200444, China.
Ting ZhouSchool of Microelectronics, Shanghai University, Shanghai 200444, China.
Tianheng XuShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.
Zhenyu WangShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.
Shilun FengState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
Honglin HuShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the field of steady-state visual evoked potential (SSVEP), stimulus paradigms are regularly arranged or mimic the style of a keyboard with the same size. However, stimulation paradigms have important effects on the performance of SSVEP systems, which correlate with the electroencephalogram (EEG) signal amplitude and recognition accuracy. This paper provides MP dataset that was acquired using a 12-target BCI speller. MP dataset contains 9-channel EEG signals from the occipital region of 24 subjects under 5 stimulation paradigms with different stimulus sizes and arrangements. Stimuli were encoded using joint frequency and phase modulation (JFPM) method. Subjects completed an offline prompted spelling task using a speller under 5 paradigms. Each experiment contains 8 blocks, and each block contains 12 trials. Designers can use this dataset to test the performance of algorithms considering "stimulus size" and "stimulus arrangement". EEG data showed SSVEP features through amplitude-frequency analysis. FBCCA and TRCA confirmed its suitability.

Indexed as

computer scienceHealth sciencesNatural sciences

Identifiers

PMID39759080
PMCPMC11700636

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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.