Sub1_Data.mat

Name: Sub1_Data.mat
Creator: Behboodi, Mohammadreza
Published: 2022-03-13T00:00:00+08:00

Figshare2022-03-13 更新2026-04-08 收录

视觉诱发电位

脑电信号处理

数据链接：

https://figshare.com/articles/dataset/Sub1_Data_mat/19352342/1 数据链接链接失效反馈

官方服务：

资源简介：

This dataset contains the raw acquired three-channel EEG data of 16 participants who participated in a SSVEP study.

提供机构：

Behboodi, Mohammadreza

创建时间：

2022-03-13

Data_Sheet_1_A Hybrid Brain-Computer Interface Based on Visual Evoked Potential and Pupillary Response.docx

脑机接口

视觉诱发电位

Brain-computer interface (BCI) based on steady-state visual evoked potential (SSVEP) has been widely studied due to the high information transfer rate (ITR), little user training, and wide subject app

frontiersin.figshare.com2023-05-30 更新30

Data_Sheet_1_Revealing the Dynamic Nature of Amplitude Modulated Neural Entrainment With Holo-Hilbert Spectral Analysis.pdf

振荡分析

脑电信号处理

Patterns in external sensory stimuli can rapidly entrain neuronally generated oscillations observed in electrophysiological data. Here, we manipulated the temporal dynamics of visual stimuli with cros

NIAID Data Ecosystem20

Summary of CCA-based SSVEP Detection Methods.

脑机接口通信

视觉诱发电位

Summary of CCA-based SSVEP Detection Methods.

Figshare2015-12-03 更新10

Table_1_Optimal Approach for Signal Detection in Steady-State Visual Evoked Potentials in Humans Using Single-Channel EEG and Stereoscopic Stimuli.DOCX

视觉诱发电位

立体视觉脑电分析

In EEG studies, one of the most common ways to detect a weak periodic signal in the steady-state visual evoked potential (SSVEP) is spectral evaluation, a process that detects peaks of power present a

NIAID Data Ecosystem20

Dataset Analysis: mne_data.py

脑电信号处理

神经科学可重复性研究

Automated analysis and raw data for file ./neurokit2/eeg/mne_data.py from the NeuroKit project. Part of a mass reproducibility initiative by Dr. Juan Moisés de la Serna Tuya.

Zenodo2026-05-20 更新10

Sub1_Data.mat

资源简介：

相关数据集