dataset-ICS-EEG-headset

Dataset: EEG recordings acquired with a practical customized EEG headset

This repository contains EEG data recorded with a customized, practical EEG headset designed for unobtrusive and fast preparation EEG acquisition, particularly suited for studies involving participants with special needs.

The headset/device is described in:

Ehrlich, S., Alves-Pinto, A., Lampe, R., & Cheng, G. (2017).
A simple and practical sensorimotor EEG device for recording in patients with special needs.
Neurotechnix 2017.

The dataset contains EEG recordings for three different task protocols:

• ErrP protocol (eliciting error-related potentials)
• Motor Imagery (MI)
• Serial Reaction Time Task (SRTT)

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Repository structure

dataset-ICS-EEG-headset/
├── data_cursor
    ├── s01/                      
    ├── s02/
    ├── ...                  
├── data_mi
    ├── s01/                      
    ├── s02/
    ├── ...   
├── data_srtt
    ├── s01/                      
    ├── s02/
    ├── ...   
└── README.md

Task descriptions (brief)

Task I – ErrP protocol (error-related potentials)

Purpose: provide EEG recordings eliciting error-related potentials (ErrP), enabling trial-based comparison of error vs. correct conditions and training of ErrP detection models.

Design: A protocol containing correct and erroneous outcomes/events is used to evoke error perception in the participant. Trials are annotated with event markers, enabling ERP analysis and single-trial classification.

Folder: data_cursor

Task II – Motor imagery (MI)

Purpose: provide data suitable for motor imagery decoding (e.g., left vs. right hand motor imagery), typically used in BCI pipelines for sensorimotor rhythm modulation.

Design: Participants perform motor imagery trials (imagined movement rather than overt movement), allowing analysis of mu/beta modulations and training of MI classifiers.

Folder: data_mi

Task III – Serial Reaction Time Task (SRTT)

Purpose: measure sensorimotor-related EEG activity during a repeated stimulus–response key-press task and provide data suitable for analyzing sensorimotor rhythms and ERD/ERS effects.

Design: In each trial, one out of multiple visual targets is presented and the participant responds via a key-press (right-hand response in the original validation study). Trials are time-locked to the motor response, making the data suitable for ERD/ERS or time–frequency analysis.

Folder: data_srtt

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About the dataset

Intended use

This dataset supports research in:

• EEG acquisition with fast-setup and practical wearable systems
• sensorimotor rhythms and ERD/ERS analysis
• motor imagery decoding / passive BCI
• ErrP detection and classification
• benchmarking preprocessing pipelines under realistic recording constraints

Modalities and measures (overview)

Depending on the task, the dataset includes:

• EEG recordings acquired with the customized headset
• optional EOG channel for capturing eye movements / artifact reduction :contentReference[oaicite:1]{index=1}
• event markers/time references for trial segmentation
• task metadata depending on protocol

The headset is based on re-purposed Emotiv EPOC electronics integrated into a headphones-like design and provides: :contentReference[oaicite:2]{index=2}

• semi-dry saline felt-pad sensors
• electrodes positioned according to the 10–20 system over sensorimotor areas
• fast preparation time (≈ 5 min) and stable recording over typical session durations

For exact data formats, channel montage, sampling rate, and event codes, consult the dataset documentation provided in this repository.

Citation

If you use this data, please cite:

@inproceedings{ehrlich2017practicaleegdevice,
  title     = {A simple and practical sensorimotor EEG device for recording in patients with special needs},
  author    = {Ehrlich, Stefan and Alves-Pinto, Ana and Lampe, Renee and Cheng, Gordon},
  booktitle = {Neurotechnix 2017},
  year      = {2017}
}