This project demonstrates a complete SSVEP BCI workflow using the NeuraDock EEG Workstation, a 7-channel dry-electrode EEG headset designed for researchers, developers, and neurotechnology teams.
SSVEP, or steady-state visual evoked potential, is a classic brain-computer interface paradigm. When a user looks at a visual stimulus flickering at a specific frequency, the EEG signal can show a corresponding response at that frequency. In this demo, we use a 12 Hz visual stimulation task and inspect the EEG response in both time and frequency domains.
[Insert image: participant wearing the NeuraDock EEG Workstation while viewing the visual stimulation screen. Caption: “Wearing the NeuraDock EEG Workstation and starting a 12 Hz visual stimulation task.”]
The goal of this project is not only to show a visual stimulus experiment, but to document the workflow from headset setup to EEG recording and signal analysis.
Why SSVEP?SSVEP is widely used in BCI research because it provides a clear and structured way to connect visual stimulation with measurable EEG responses. For developers and researchers building with brain signals, it is a useful entry point for testing hardware, signal acquisition, data quality, and analysis workflows.
With NeuraDock, we want to make this type of experiment more accessible by combining:
- A 7-channel dry-electrode EEG headset
- Real-time EEG acquisition
- Software tools for recording and checking signals
- Example workflows for BCI prototyping
- An open-source AI-assisted analysis agent under developmen
This SSVEP demo is one of the example workflows we are preparing for the NeuraDock EEG development platform.
Hardware SetupFor this demo, the user wears the NeuraDock EEG Workstation and sits in front of a visual stimulation interface. The headset uses dry electrodes, so no gel is required during setup.
The demo uses a 12 Hz visual stimulation task. After the headset is placed and the electrodes are in contact with the scalp, EEG data is recorded and then processed to inspect the response.
WorkflowThe demo follows a simple workflow:
- Wear the NeuraDock EEG Workstation
- Start the 12 Hz visual stimulation task
- Record EEG data from the 7-channel dry-electrode setup
- Run data analys
- Inspect the EEG response in the frequency domain
- Inspect the EEG response in the time domai
- Review the averaged waveform across channels
This workflow is designed to be understandable and repeatable, so developers can see how the experiment moves from stimulation to recorded brain-signal data and analysis.
Frequency-Domain AnalysisAfter recording the EEG data, we inspect the signal in the frequency domain. In this demo, the frequency-domain result shows a clear peak around 12 Hz, corresponding to the 12 Hz visual stimulation.
This is the expected behavior in an SSVEP task: the visual stimulus frequency appears as a measurable component in the EEG response.
We also inspect the EEG waveform in the time domain. This view helps us observe how the recorded EEG signal changes over the duration of the stimulation task.
In addition to the single waveform view, we also review the averaged waveform across the 7 channels. The averaged result shows visible 12 Hz oscillatory activity, which further supports the SSVEP response observed in the frequency-domain analysis.
This SSVEP workflow demonstrates that NeuraDock can support a complete BCI experiment pipeline, including visual stimulation, EEG acquisition, and basic signal analysis.
For researchers and developers, the key point is that the system is not just a headset. It is being developed as an EEG workstation for practical experimentation, workflow prototyping, and open neurotechnology development.
This demo shows:
- Dry-electrode EEG setup without gel
- 7-channel EEG acquisition
- A structured 12 Hz SSVEP task
- Frequency-domain analysis with a visible 12 Hz peak
- Time-domain waveform inspection
- A complete path from wearing the device to analyzing EEG data
We are continuing to organize more NeuraDock examples and tutorials, including signal quality checks, real-time data streaming, marker workflows, motor imagery demos, and AI-assisted EEG analysis.
NeuraDock is now on Crowd Supply prelaunch. Follow the campaign to get launch updates and support a more accessible EEG workstation for researchers, developers, and the open neurotechnology community.
Crowd Supply campaign:https://www.crowdsupply.com/neuradock/neuradock-eeg-workstation
More NeuraDock resources:
Website:https://www.neuradock.com/
GitHub:https://github.com/Neuradock
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