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Nakanishi2015 – SSVEP Nakanishi 2015 dataset

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DataCite Commons2026-05-04 更新2026-05-06 收录
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https://nemar.org/dataexplorer/detail?dataset_id=nm000118&version=1.0.0
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资源简介:
A 12-class steady-state visual evoked potential (SSVEP) derivative dataset acquired from 9 healthy subjects using 8-channel EEG recorded at 256 Hz with joint frequency-phase modulation. This preprocessed dataset was derived from the original Nakanishi et al. 2015 study and contains bandpass-filtered (6-80 Hz) and downsampled data with a 135-ms latency delay applied to account for visual system delay. The dataset was used to benchmark canonical correlation analysis (CCA)-based methods for SSVEP detection in brain-computer interface applications, demonstrating that individual calibration data significantly improves classification performance compared to standard CCA approaches.
提供机构:
NEMAR (Neuroelectromagnetic Data Archive and Tools Resource)
创建时间:
2026-05-04
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