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

sync2brain GmbH

Jasminweg 23
72076 Tübingen
GERMANY
info@sync2brain.com
https://sync2brain.com

Required Products

Recommended Products

Platforms

  • Windows

Support

  • Consulting
  • E-mail
  • System integration
  • Training

Product Type

  • Lab Experiments

Tasks

  • Control Systems
  • Digital Signal Processing
  • Real-Time Systems

Industries

  • Neuroscience