code- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals

Open access dataset for simultaneous EEG and NIRS brain-computerinterface (BCI)<br>Due to the lack of open access datasets for EEG-NIRS hybrid brain-computer interfaces (BCIs), we provide our BCI experiment data on this website. We conducted two BCI experiments (left vs. right hand motor imagery; mental arithmetic vs. resting state). The dataset was validated using baseline signal analysis methods; classification performance was evaluated for each modality and a combination of both modalities. We expect that the dataset can be used in a wide range of future validation approaches in multimodal BCI research.<b>Downloading the data</b><br>Data of 29 subjects from the original study are available along with demographic information, and signal quality information on each channel. Please fill out the form below prior to downloading the data. We will only use this information for statistical purposes.<b>UPDATES</b><br><br>1. NIRS channel information was corrected.<br>2. EEG channel information was corrected.<br>3. Data information was updated.<br><br>1. NIRS Data information was updated.

同步脑电图（Electroencephalogram, EEG）与近红外光谱（Near-Infrared Spectroscopy, NIRS）混合脑机接口（Brain-Computer Interface, BCI）开放获取数据集。
鉴于目前缺乏脑电图-近红外光谱混合脑机接口的开放获取数据集，我们在此平台公开分享本团队的脑机接口实验数据。本研究开展了两项脑机接口实验：分别为左右手运动想象任务，以及心算任务与静息状态任务的对照实验。本数据集采用基线信号分析方法进行了有效性验证，并针对单模态以及双模态融合的分类性能开展了评估。我们期望该数据集可广泛应用于未来多模态脑机接口研究中的各类验证工作。
数据下载
本研究原始数据包含29名受试者的实验数据，同时附带受试者人口统计学信息与各通道的信号质量信息。请您先填写下方表单方可下载数据，我们仅会将您提供的信息用于统计分析用途。
更新日志
1. 修正近红外光谱通道信息
2. 修正脑电图通道信息
3. 更新数据集整体信息
4. 更新近红外光谱数据相关信息

搜集汇总

背景与挑战

背景概述

该数据集是一个结合EEG和fNIRS信号的脑机接口系统开放数据集，包含29名受试者的实验数据，用于多模态BCI研究的未来验证。数据集经过验证并评估了单模态和多模态的分类性能。