9-channel EEG system Hero

ambulatory EEGbody-worn

Lightweight, wearable dry-EEG with an integrated amplifier, designed to facilitate user mobility. Developed for advanced research in cognition and motor neurorehabilitation in natural environments. Wireless connectivity and optional data storage on a microSD card. Technical specifications Hardware Sensors and Headset - EEG Channels - 9x EEG (FC3, FCz, FC4, C3, Cz, C4, CP3, CPz, CP4); linked ear reference (A2); REF (A1) + GND (A1) - Type of sensors / electronics - Dry sensors, active shielding, and optimized DRL - Head breadth - 135-165 mm Wireless Amplifier - Sampling rate / resolution - 256 SPS at 24 bits - Bandwidth - DC-40 Hz (3rd-order LPF) - Online / real-time impedance check - Yes (relative contact impedance) - Integrated sensors - Integrated IMU (9 axis): Accelerometer, gyroscope and magnetometer - Input range and noise - ±100 mV; 100 dB@50 Hz; >50 GΩ Data Streaming and Storage - Data transmission and range - Bluetooth 2.1 + EDR with 10 meters in direct sight - Data files - CSV, EDF - Data backup - Yes (removable microSD card, up to 8 GB, Class ≥ 10) Software Bitbrain Core Research Software (included with equipment) - SennsLite - Real-time visualization, data recording, and synchronization across all Bitbrain devices. Compatible with LabStreamingLayer (LSL) for third-party real-time I/O (BCI2000, OpenVibe, NeuroPype, Medusa). Data export in CSV and EDF, compatible with common analysis softwares: Python (MNE, etc), Matlab (EEGLAB, FieldTrip, BCILAB,etc), and more. - C SDK - SDK in C for maximum performance and portability enabling Python integration. Compatible with Windows OS and Linux (x86).