<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Tian P</submitter><funding>The First Affiliated Hospital of Xi'an Jiaotong University</funding><funding>National Key Research and Development projects</funding><funding>Natural Science Basic Research Program of Shaanxi Province</funding><pagination>27872</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11560949</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>14(1)</volume><pubmed_abstract>With the development of brain-computer interface industry, large amounts of related applications have entered people's vision. BCI applications based on steady-state visual evoked potentials (SSVEP) are widely used because they do not require pre-training and have high information transmission rates. However, in the actual use of SSVEP stimulus paradigm, the subjects will produce visual fatigue with the use, and fatigue will affect the transmission efficiency. In this experiment, an experimental environment consisting of two paradigm stimulus frequencies (7.5 Hz, 15 Hz), three resolutions (800 × 600, 1280 × 720, 1920 × 1080) and three refresh rates (120 Hz, 240 Hz, 360 Hz) is set up. The Likert scale is used to collect subjective fatigue and preference scores, and the EEG acquisition syste</pubmed_abstract><journal>Scientific reports</journal><pubmed_title>A subjective and objective fusion visual fatigue assessment system for different hardware and software parameters in SSVEP-based BCI applications.</pubmed_title><pmcid>PMC11560949</pmcid><funding_grant_id>Program No. 2023-JC-QN-0501</funding_grant_id><funding_grant_id>No.20231055</funding_grant_id><funding_grant_id>No.20231056</funding_grant_id><funding_grant_id>No.2021ZD0204300</funding_grant_id><pubmed_authors>Li H</pubmed_authors><pubmed_authors>Du C</pubmed_authors><pubmed_authors>Guo X</pubmed_authors><pubmed_authors>Wu Q</pubmed_authors><pubmed_authors>Xie J</pubmed_authors><pubmed_authors>Jiang H</pubmed_authors><pubmed_authors>Han C</pubmed_authors><pubmed_authors>Zhang S</pubmed_authors><pubmed_authors>Xu G</pubmed_authors><pubmed_authors>Chen R</pubmed_authors><pubmed_authors>Wang J</pubmed_authors><pubmed_authors>Tian P</pubmed_authors></additional><is_claimable>false</is_claimable><name>A subjective and objective fusion visual fatigue assessment system for different hardware and software parameters in SSVEP-based BCI applications.</name><description>With the development of brain-computer interface industry, large amounts of related applications have entered people's vision. BCI applications based on steady-state visual evoked potentials (SSVEP) are widely used because they do not require pre-training and have high information transmission rates. However, in the actual use of SSVEP stimulus paradigm, the subjects will produce visual fatigue with the use, and fatigue will affect the transmission efficiency. In this experiment, an experimental environment consisting of two paradigm stimulus frequencies (7.5 Hz, 15 Hz), three resolutions (800 × 600, 1280 × 720, 1920 × 1080) and three refresh rates (120 Hz, 240 Hz, 360 Hz) is set up. The Likert scale is used to collect subjective fatigue and preference scores, and the EEG acquisition syste</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Nov</publication><modification>2025-04-04T14:42:44.374Z</modification><creation>2025-04-04T14:42:44.374Z</creation></dates><accession>S-EPMC11560949</accession><cross_references><pubmed>39537730</pubmed><doi>10.1038/s41598-024-79401-3</doi></cross_references></HashMap>