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BrainBit DragonEEG 21‑Channel EEG System

DragonEEG is a 21-channel, high-fidelity wireless EEG system designed for qEEG research, neurofeedback applications, and the development of advanced neurotechnologies. Designed according to the international 10-20 electrode placement standard, it supports both dry and wet electrodes, offers seamless Bluetooth LE connectivity, and includes an SDK for developers and researchers.

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BrainBit DragonEEG 21‑Channel EEG System

DragonEEG is a 21-channel, high-fidelity wireless EEG system designed for qEEG research, neurofeedback applications, and the development of advanced neurotechnologies. Designed according to the international 10-20 electrode placement standard, it supports both dry and wet electrodes, offers seamless Bluetooth LE connectivity, and includes an SDK for developers and researchers.

The DragonEEG system allows for freedom of movement, and its head-mounted design ensures low noise and artifacts. Ideal for qEEG assessment, DragonEEG captures high-quality signals, enabling in-depth analysis, seamless export in EDF format, and is compatible with NeuroGuide software for expert-level reporting.

Equipped with three polyphonic channels for EMG, ECG, and EOG measurements, and a hardware input for a wireless photostimulator, DragonEEG offers versatility for a wide range of applications. 

Configuration
21 EEG channels: Fp1, Fpz, Fp2, F7, F3, Fz, F4, F8, T3, C3, Cz, C4, T4, T5, P3, Pz, P4, T6, O1, Oz and O2
3 polychannels: EMG, ECG, EOG
2 versions: dry golden plated spring-loaded electrodes or classical Ag/AgCl electrodes

Electronics
Sampling rate: 500 Hz
Measured voltage range: ± 0,4 V
Battery charge time: up to 4 hours
Continuous work time: 8 hours
Communication interface: Bluetooth LE

Software
- Charge Free SDK for: C++, C#, Python, ReactNative, Unity, Xamarin
SDK Supported platforms: iOS, Android, Windows, MACOS, Linux

- Get new NeuroREC Software for free:
Raw data recording, Filter library, Spectral analysis, Reports
Heatmapping: 2D and 3D
Export: CSV, EDF+

 

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DragonEEG
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