Evidence map›Paper›PMID 42306198›Full record

ArticleCyborg and bionic systems (Washington, D.C.)2026

Text Sequence Stimulation for High-Speed and Comfortable SSVEP-BCI.

Xiaoyang Li, Shaojie Zhang, Yonghao Song, Shangen Zhang, Xiaogang Chen, Yijun Wang, Xiaorong Gao

Abstract read
In one paragraph

Article in Cyborg and bionic systems (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Xiaoyang LiSchool of Biomedical Engineering, Tsinghua University, Beijing 100084, China.
Shaojie ZhangTianjin Key Laboratory of Bioelectromagnetic and Intelligent Health, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300131,China.
Yonghao SongSchool of Biomedical Engineering, Tsinghua University, Beijing 100084, China.
Shangen ZhangSchool of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Xiaogang ChenInstitute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, China.
Yijun WangLaboratory of Solid-State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China.
Xiaorong GaoSchool of Biomedical Engineering, Tsinghua University, Beijing 100084, China.ORCID https://orcid.org/0000-0003-0499-2740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Steady-state visual evoked potential brain-computer interfaces offer a high-speed communication channel. However, traditional steady-state visual evoked potential paradigms often rely on strong flickering visual stimulation, which can lead to substantial visual fatigue. Moreover, the electroencephalography responses evoked by brightness flicker are spatially constrained and are primarily associated with occipital visual processing. This study presents a novel text sequence stimulation paradigm that combines periodic visual stimulation with orthographic information and elicits distinct occipital and occipitotemporal scalp response patterns relative to conventional brightness flicker. Frequency-sweep experiments were conducted to investigate the temporal, spatial, and spectral characteristics of the evoked responses. A comparison experiment further showed that text sequence stimulation is less sensitive to variations in stimulus size and luminance than conventional brightness flicker. Based on these findings, a 40-target speller was developed and validated through online experiments. The proposed paradigm achieved an information transfer rate of 235.12 ± 30.12 bits/min while significantly improving user comfort, as confirmed by questionnaire evaluations. These results suggest that text sequence stimulation offers a practical design direction for high-speed and more comfortable visual brain-computer interface.

Identifiers

PMID42306198
PMCPMC13266052

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LicenceCC BY
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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.