Nakanishi2015 – SSVEP Nakanishi 2015 dataset

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.本数据集为12类稳态视觉诱发电位（steady-state visual evoked potential, SSVEP）衍生数据集，招募9名健康受试者完成数据采集，采用8通道脑电图（electroencephalogram, EEG）以256Hz采样率记录信号，实验范式为联合频率相位调制。该预处理数据集源自Nakanishi等人2015年的原始研究，包含经6-80Hz带通滤波与降采样处理的数据，并引入135ms时延以补偿视觉系统的响应延迟。本数据集被用于脑机接口（brain-computer interface）应用中基于典型相关分析（canonical correlation analysis, CCA）的SSVEP检测方法的基准测试，实验结果证实，相较于标准CCA方法，使用个体校准数据可显著提升分类性能。