Brain–Computer Interfaces (BCI)

The g.tec BCI system is a complete platform that turns the electrical activity of the human brain into computer commands. Brain signals recorded with EEG or ECoG are analysed in real time and used to control objects, spell letters, open doors and manage daily activities. It increases the independence of people with restricted movement and gives patients with locked-in syndrome and disorders of consciousness a way to communicate.

The MATLAB/Simulink-based real-time processing environment lets you set up closed-loop experiments and neurofeedback applications within hours. It works with g.USBamp, g.HIamp or g.Nautilus.

The user imagines moving the right or left hand, the feet or the tongue, and the system classifies the resulting EEG mu/beta rhythms. High-accuracy decoding of motor intention with the CSP (Common Spatial Patterns) algorithm. The gold-standard paradigm in stroke rehabilitation and neuroprosthesis control.

The BCI system also connects to a VR system that presents a three-dimensional virtual model of a smart home. With EEG, users can watch TV, play music, open doors and control the heating.

• Motor Imagery CSP toolbox

Target selection with visual, auditory or vibrotactile stimuli. Communication at one character per second with the P300 speller. Medical device applications for patients with ALS and locked-in syndrome; performance proven in hundreds of clinical studies.

The P300 paradigm presents 36 characters on screen as a 6×6 matrix. The characters flash in random order while the user silently counts the flashes of the one they want to spell. When that character flashes, a P300 component appears in the brain 300 ms later. The visual P300 speller is also available as a ready-made application through Unicorn Suite.

• Visual P300 toolbox

Information transfer rates of up to 100 bits per second with steady-state visual evoked potentials. A zero-class approach that needs no calibration. Ideal for scenarios that demand a high ITR, such as smart home control, in-vehicle systems and VR applications.

SSVEP-based BCIs use light sources flickering at different frequencies. When the user looks at one light, EEG activity over the occipital lobe rises at that frequency. When the user looks at no light, the system automatically switches to “no control” mode.

• SSVEP toolbox

Control of robotic arms, wheelchairs, drones and exoskeletons with EEG signals. Leading robotics labs around the world, such as the Hiroshi Ishiguro Lab in Japan, use g.tec BCI systems. A Simulink-based real-time control interface.

With code-based BCI (cVEP), a real excavator was controlled live at the Ars Electronica Festival. Through the SOCI module, control icons can be integrated into external applications such as Unity.

• cVEP and Simulink integration

The MATLAB/Simulink-based g.tec BCI environment provides every paradigm as a ready-made toolbox, so an experiment is set up in hours rather than months.

• Motor Imagery CSP
• Motor Imagery CSP + FES
• Code-based BCI (cVEP)
• SSVEP
• Hybrid BCI
• Visual P300 Speller
• Vibro-tactile P300
• EMG & EOG Control
• Hyperscanning
• VR / AR applications
• fNIRS BCI
• Ping Pong BCI
• Fusiform Face Area
• ECoG / invasive BCI