SignalFlowEEG Example Data

The SignalFlowEEG Example Data dataset contains sample EEG recordings that demonstrate the capabilities and usage of the SignalFlowEEG Python package. This package provides a comprehensive set of tools for processing, analyzing, and visualizing electroencephalography (EEG) data, with a focus on neuroscience research applications.
The example dataset includes EEG recordings from various paradigms:
Resting-state EEG: A 5-minute recording where the subject relaxed with eyes closed.Auditory chirp stimulation: EEG recorded while the subject listened to chirp sounds with varying frequencies.Visual evoked potentials: EEG recorded as the subject viewed checkerboard pattern stimuli to elicit visual responses.These recordings were collected at the Cincinnati Children's Hospital Medical Center and are made available for educational and testing purposes.
SignalFlowEEG builds upon MNE-Python, a popular open-source library for EEG analysis, and offers additional functionality tailored for clinical research workflows. This example dataset allows users to explore SignalFlowEEG's features and gain hands-on experience analyzing EEG data with this powerful Python package.
The dataset consists of .set files, a format used by the EEGLAB toolbox. Each file contains raw EEG data, channel info, and event markers for a specific experimental paradigm. Files can be loaded using mne.io.read_raw_eeglab() from MNE-Python, a SignalFlowEEG dependency. The dataset has no missing data or special abbreviations. Channel names and event markers follow standard EEGLAB conventions.

SignalFlowEEG示例数据集（SignalFlowEEG Example Data）收录了示例脑电图（electroencephalography，以下简称EEG）录音，用于展示SignalFlowEEG Python包的功能与使用方法。该包提供了一套用于处理、分析与可视化EEG数据的完整工具集，主打神经科学研究应用场景。
本示例数据集涵盖了多种实验范式下的EEG录音：静息态EEG：时长5分钟的录音，受试者保持闭眼放松状态；听觉啁啾刺激范式：受试者聆听不同频率啁啾声音时采集的EEG数据；视觉诱发电位范式：受试者观看棋盘格视觉刺激以诱发视觉反应时采集的EEG数据。上述录音均由辛辛那提儿童医院医学中心采集，仅用于教学与测试用途。
SignalFlowEEG基于当前主流的EEG分析开源库MNE-Python开发，并针对临床研究工作流定制了额外功能。本示例数据集可帮助用户探索SignalFlowEEG的各项功能，并通过这款强大的Python包获得EEG数据分析的实操经验。
本数据集采用EEGLAB工具箱所用的.set格式文件存储。每个文件均包含特定实验范式下的原始EEG数据、通道信息与事件标记。用户可通过SignalFlowEEG的依赖库MNE-Python中的`mne.io.read_raw_eeglab()`函数加载这些文件。本数据集无缺失数据与特殊缩写，通道名称与事件标记均遵循EEGLAB的标准规范。