Wearable dry-EEG headset optimised to monitor cognitive and sensorimotor states in real-world applications with outstanding ease, comfort and reliability.
Portable and wireless EEG system
Hero is a portable dry-EEG system designed for real-world applications that require great comfort and unobtrusiveness for the user, as well as an agile set up and outstanding signal quality for the researcher. Developed with 9 dry electrodes over specific brain areas (fronto-central, central, and centro-parietal areas), it is optimized for the estimation of cognitive and sensorimotor states. Its high-performance active shielding and stable mechanical design provide outstanding robustness and signal quality, even with movement or during long recording periods.
Owing to its refined usability, this dry electrode EEG technology can be easily self-placed in less than 2 minutes by the final user, or assisted either by technical or non-technical experts. This feature, in combination with the great comfort and reliability, is opening the door to neuroscience research in real-world applications, and real-life brain-computer interface products operated everywhere by final users, families, or assistants.
Hero comes with Bitbrain Software Kit for EEG signal acquisition, processing, and programming, which has a large compatibility with real-time I/O and third-party data processing (LSL, Matlab, Python, BCI2000, OpenVibe, etc). Also, by acquiring the Human Behaviour Research Lab, it can be performed a seamless synchronisation with other human monitoring technologies such as ExG, GSR, eye-trackers, among many others.
I want to use Hero for
Carry out human behaviour research in real-world scenarios and configurations with ecology and reliability.
Develop new brain-tech products or services with the most accessible EEG hardware.
Advance the frontier of interaction with reliable brain-tech usable by everybody, anywhere at anytime.
Wearable and portable
Ultralight design with flexible arcs and adjustments to ensure great comfort. Bluetooth streaming and on-board SD storage.
Quick and easy set up by non-technical experts or the final user, almost anywhere and under any circumstance.
Optimised EEG sensor placement
Layout optimised for mu/alpha ERD/ERS, ERPs (P300, N400), MRCPs, and CVN, among others.
Robust dry-EEG monitoring
High-quality EEG that records with a resolution of 24 bits at 256Hz for 8+ hours thanks to active shielding with stable sensor contacts.
Easy to transport and store without maintenance or expenses on consumables.
High software compatibility
Intuitive software suite for users or SDK for programmers, and great compatibility with Matlab, Python, etc.
Light (250gr) and flexible headset design that adapts to each head morphology (85% of the global population). It has 9 dry-EEG sensors with mechanical designs that reduce contact impedances and guarantee stable contacts, as well as an active shielding to maximise SNR.
The amplifier is already integrated into the device. It records with a resolution of 24 bits at 256Hz. It has an internal IMU (9 DOF) and online relative impedance control. With μSD recording or Bluetooth connectivity with a 10+ metre range, and 3+ hours continuous recording.
How to use
Hero - Assistant placement
Use case: Nissan - Brain-to-Vehicle
Clean, quick and easy set up, also by non-technical personnel, in just a few minutes. This dry electrode technology does not require expenses on consumables (jars of gels, syringes, shampoo, etc.), and there are no additional maintenance costs. It comes with an intuitive, powerful software platform to collect data with the help of visual cues to assure quality montage and monitoring.
1. Preparation: Measure the head from front (nasion) to back (inion) and from left to right to locate Cz. Use the band guides and the Cz reference to ensure that the EEG is centred. Swipe down until it is fully fitted. Place the clip on the ear lobe.
2. Set up: The colour of each sensor indicates the quality of the EEG signal (online impedance). Carefully move the sensors to ensure they are in contact with the scalp. Wait 10 seconds and repeat with the sensors that are not green yet.
3. Test: Once there is good EEG signal quality, do a simple test to validate the signal quality: blink, bite, close your eyes, move your arms and walk around to check that the EEG is not affected.
4. Recording: Now you are ready to record you EEG data and to export it afterwards.
5. Clean and storage: Clean the sensors with wet wipes and store Hero in its own case.
|Sensors and headset|
|EEG channels||9 x EEG (FC3, FCz, FC4, C3, Cz, C4, CP3, CPz, CP4), Linked ear reference (A2), REF (A1) y DRL (A1)|
|Type of sensors / electronics||EEG dry sensors, active shielding and optimized DRL|
|Head breadth||13,5 - 16,5 cm|
|Sampling rate / resolution||256 SPS at 24 bits|
|Bandwidth||DC – 40Hz (3º order LPF)|
|Online / real-time impedance check||Yes (relative contact impedance)|
|Integrated sensors||Integrated IMU (9 axis): accelerometer, gyroscope and magnetometer|
|Other inputs||1 x Digital input (1 bit), 1 x optical trigger|
|Input range and noise||±100 mV, < 1 µVRMS (0.5 – 30Hz) @256Hz|
|CMRR / Input impedance||>100 dB @50Hz, > 50 GΩ|
|Data streaming and store|
|Data transmission and range||Bluetooth 2.1 + EDR with 10 meters in direct sight|
|Data backup||Yes (removable µSD card. Max 8GB, class ≥10 )|
|Battery||Swappable lipo battery. Charging time < 3h|
|Cleaning and maintenance||Wipes moistened in tap water|
|Certifications||CE and CB, with EN 60950, EN 55032, EN 55024|
|Bitbrain Software Kit (included)|
|Bitbrain real-time SDK||In C/C++ for Windows and Linux|
|Bitbrain data acquisition and visualization suite||Live visualization, streaming or SD recording, data export in CSV and raw data visualization|
|Third parties real-time I/O||All compatible with LabStreamingLayer LSL (BCI2000, OpenVibe, NeuroPype, etc).|
|Third parties data processing||Matlab (EEGLAB, FieldTrip, BCILAB,etc), Python (MNE, etc) and more.|
|Bitbrain software platforms (optional)|
|Bitbrain Human Behaviour Research Lab||Practical research platform for experiment design and data acquisition with 30+ sensor modalities seamlessly synchronized, and to compute a wide range of emotional and cognitive biometrics.|
|Bitbrain Cognitive Training Lab||Software platform for QEEG and cognitive training for health and wellness.|
|Bitbrain Programming Platform||Multimodal real-time neuroscience or brain-computer interface development.|
What is included
The devices are easily stored and transported within a suitcase. Technology is easily cleaned with common wipes.
- Cable USB-micro USB
- EEG headset and amplifier (integrated)
- Lateral extensions in 3 sizes
- 2 rechargeable batteries 700mAh
- Bitbrain Software Kit
Basic Support is included during the life time of the product.
- Email support
- Technical assistance
- Technical assistance
Optional Premium support is also available.
Software for EEG signal acquisition, processing and programming, with large compatibility and with real-time I/O and third-party data processing.
Simplified data acquisition and setup
Collect data with the help of visual cues to assure montage and quality monitoring.
Easy to use development with versatile SDK to address a wide variety of applications.
Powerful real-time applications
Using real-time LSL third-party platforms such as Matlab, BCI2000 or OpenVibe among others.
In depth data analysis
Compatible with advanced platforms such as Matlab, EEGLab or MNE among others.