MAMEM EEG SSVEP Dataset II

EEG classification aims to classify EEG recordings that consist of C sensor readings regularly sampled, e.g., at a set frequency in Hz, usually for a short time range of a few seconds. For each recording additional information, often called meta data, is available, e.g., the ID of a human subject, the sequence number of a session or the sequence number of a task within a session.

搜集汇总

背景与挑战

背景概述

该数据集名为'MAMEM EEG SSVEP Dataset II'，是一个用于稳态视觉诱发电位（SSVEP）分类的脑电图（EEG）数据集。它包含由多个传感器以固定频率采样的EEG记录，每条记录通常持续几秒，并附有元数据，如受试者ID和会话任务信息，以支持分类分析。