NeuraDock EEG Workstation is a 7-channel electroencephalography development kit for researchers, developers, and makers who want to build with brain signals. It combines a lightweight dry-electrode headset, a compact acquisition module, software tools for recording, and an open-source AI agent for signal analysis.

Built around the Texas Instruments ADS1299 and Nordic nRF52840 chips, NeuraDock delivers low-noise, 24-bit EEG acquisition with Bluetooth and USB streaming, while maintaining a portable and practical form factor. Straddling the line between consumer tech and lab-grade equipment, it gives more users access to raw EEG data than ever before.

The dry-electrode headset covers occipital and temporal regions, can be worn quickly, and the acquisition module streams multichannel EEG data in real time. The modular design also allows developers to integrate the core module into custom wearables, XR headsets, or interactive systems. Its open-source EEG analysis agent helps you analyze EEG data, letting you use natural language to search for insights.

Think it, Build it

NeuraDock is built for people who want to work directly with EEG data without spending most of their time assembling hardware or writing low-level signal-processing code. It is used by neuroscience researchers, HCI designers, AI engineers, and XR or game developers who want to prototype with brain signals quickly.

A typical project might start with an idea for brain-driven interaction or an experiment using EEG signals. With many existing tools, developers first need to configure hardware, check electrode contact, set up data streaming, and write preprocessing code before they can test anything meaningful. NeuraDock shortens this path by providing a ready-to-use hardware setup and a workflow that helps move from raw signals to usable data more efficiently.

In practice, this means faster iteration. A team can put on the headset, verify signal quality, record data, and begin analysis or application development without rebuilding the same pipeline for every project.

One key challenge in EEG work is the gap between ideas and implementation. Designing a custom feature or metric often requires writing and debugging complex signal-processing code. With NeuraDock, users can describe tasks such as filtering signals, extracting bandpower, or generating visualizations, and the system assists in building the required pipeline. This turns what is often a time-consuming process into a faster and more accessible workflow.

Features & Specifications

• EEG Channels: 7 channels
• Analog Front-End: Texas Instruments ADS1299
• ADC Resolution: 24-bit
• Sampling Rate: 250 Hz
• Input-Referred Noise: < 1.5 μV p-p
• CMRR: 110 dB
• Electrode Type: Dry electrodes
• Electrode Layout: O1, O2, Oz, PO3, PO4, CP5, CP6
• Connectivity: Bluetooth Low Energy (BLE), USB Type-C
• Wireless: Nordic Semiconductor nRF52840
• Battery: Rechargeable Li-ion
• Battery Life: ~6 hours continuous streaming

Software and Workflow

• Companion application for recording and exporting EEG data
• Real-time signal visualization for monitoring signal quality
• Data export for integration with Python, MATLAB, and common EEG toolchains
• Agent-assisted workflow for generating analysis pipelines from natural language prompts
• Local processing architecture — EEG data remains on the user’s machine

Open Source

NeuraDock is designed as an open and developer-friendly platform, with key parts of the system made available for customization, research, and integration.

We plan to provide the following resources:

• Hardware interface and port specifications for integration
• Mechanical CAD files for the headset and enclosure
• Core software components, including the Python SDK

Licensing:

• Hardware design files: CERN-OHL-W
• Mechanical CAD files: CC BY-SA 4.0
• Software (SDK and tools): MIT License

All resources will be published on our GitHub repository. We welcome contributions from the community, including software improvements, new analysis workflows, and hardware adaptations.

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