ArticleScientific data2022
eldBETA: A Large Eldercare-oriented Benchmark Database of SSVEP-BCI for the Aging Population.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- An EEG dataset for handwriting imagery decoding of Chinese character strokes and Pinyin single vowels.Scientific data · 2026Article
- An open dataset for human SSVEPs in the frequency range of 1-60 Hz.Scientific data · 2024Article
- Dataset Evaluation Method and Application for Performance Testing of SSVEP-BCI Decoding Algorithm.Sensors (Basel, Switzerland) · 2023Article
- SSVEP detection assessment by combining visual stimuli paradigms and no-training detection methods.Frontiers in neuroscience · 2023Article
- eldBETA: A Large Eldercare-oriented Benchmark Database of SSVEP-BCI for the Aging Population.Scientific data · 2022Article
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4 authors.
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Abstract
Global population aging poses an unprecedented challenge and calls for a rising effort in eldercare and healthcare. Steady-state visual evoked potential based brain-computer interface (SSVEP-BCI) boasts its high transfer rate and shows great promise in real-world applications to support aging. Public database is critically important for designing the SSVEP-BCI systems. However, the SSVEP-BCI database tailored for the elder is scarce in existing studies. Therefore, in this study, we present a large eldercare-oriented BEnchmark database of SSVEP-BCI for The Aging population (eldBETA). The eldBETA database consisted of the 64-channel electroencephalogram (EEG) from 100 elder participants, each of whom performed seven blocks of 9-target SSVEP-BCI task. The quality and characteristics of the eldBETA database were validated by a series of analyses followed by a classification analysis of thirteen frequency recognition methods. We expect that the eldBETA database would provide a substrate for the design and optimization of the BCI systems intended for the elders. The eldBETA database is open-access for research and can be downloaded from the website https://doi.org/10.6084/m9.figshare.18032669 .
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