bossdevice RESEARCH
Brain oscillation state sensor
Highlights
- Up to 128 EEG channels, 8 AUX channels, and 5 kHz sample rate
- 2 simultaneous signals and fully flexible (e.g., left and right hemisphere)
- Oscillatory phase and amplitude (theta, alpha, and beta)
- 4x BNC (TTL), 1 marker output (LPT)
Description
sync2brain enables studying the transient large-scale dynamics of the human brain with easy-to-program real-time signal processing technology that reads a stream of EEG data and detects pre-defined oscillatory brain-states. Our mission is to develop new personalized brain-stimulation therapies for patients suffering from neuropsychiatric disease such as stroke or depression.
bossdevice research is a real-time digital signal processor consisting of hardware and software algorithms. It is designed to read-in a real-time raw data stream from a bio-signal amplifier (electroencephalography, EEG), to continuously analyze this data and to detect patterns based on oscillations in different frequencies. When such a specific bio-signal pattern is detected, the device indicates this through a standard output port. This enables a connected device to know with millisecond accuracy when a specific bio-signal pattern occurs. The bossdevice is fully programmable from MATLAB® and enables complex experiments to be fully automated.
The real-time software on the bossdevice is built with Simulink Real-Time and shipped as a binary on a real-time target machine. sync2brain also provides an open source API, which is used for programming the device from MATLAB.
bossdevice research is not a medical device. It may not be used outside of research and it may not be used in trials involving patients.

sync2brain GmbH
Jasminweg 23
72076 Tübingen
GERMANY
info@sync2brain.com
https://sync2brain.com
Required Products
Recommended Products
Platforms
- Windows
Support
- Consulting
- System integration
- Training
Product Type
- Lab Experiments
Tasks
- Control Systems
- Digital Signal Processing
- Real-Time Systems
Industries
- Neuroscience
Related Connections Views: Control Systems, Digital Signal Processing, Lab Experiments, Neurociencia, Real-Time Systems