g.tec (Graz University of Technology) is a leading Austrian neurotechnology company specializing in high-performance brain-computer interface technology and biomedical signal processing. Founded in 1999 as a spin-off from Graz University of Technology, g.tec has established itself as a premier provider of research-grade BCI systems used by leading neuroscience laboratories worldwide.
g.tec provides high-channel-count EEG systems:
| Product |
Channels |
Type |
Application |
| g.REC |
Up to 256 |
High-impedance |
Research |
| g.Nautilus |
32-64 |
Wireless |
Research, clinical |
| g.SCARABEO |
8-32 |
Portable |
BCI applications |
Proprietary active electrode innovations:
- High Input Impedance: Minimized artifact interference
- Built-in Amplification: Signal conditioning at electrode
- Dry Options: Some models support dry electrodes
- Low Noise: High signal quality
For closed-loop BCI applications:
- Latency: Sub-millisecond processing
- g.HIsys: Real-time biosignal processing software
- SDK: Custom application development
- BCI2000: Complete BCI research platform
Wireless EEG system with active electrodes:
| Feature |
Specification |
| Channels |
32 or 64 |
| Sampling Rate |
500 Hz standard |
| Battery |
Rechargeable |
| Wireless |
2.4 GHz |
High-performance EEG amplifier:
- Up to 256 channels
- High impedance inputs
- Medical-grade design
- Research applications
Open-source BCI platform co-developed with Wadsworth Center:
- Standardized BCI framework
- Multiple paradigms support
- Large user community
- Extensive documentation
CE-certified medical EEG device:
- Clinical diagnosis
- Routine EEG
- Long-term monitoring
BCI for motor rehabilitation:
- Motor imagery detection
- Neurofeedback training
- CE certified for clinical use
BCI for stroke and spinal cord injury:
- Motor imagery-based therapy
- Functional electrical stimulation integration
- Neuroplasticity promotion
- Clinical validation
For locked-in syndrome and ALS:
- P300 speller
- SSVEP communication
- Motor imagery control
Research applications:
- Cognitive neuroscience
- Brain mapping
- Neural decoding studies
g.tec supports major BCI paradigms:
- P300 Evoked Potentials: Oddball paradigm for communication
- SSVEP: Steady-state visual evoked potentials
- Motor Imagery: Mu/beta rhythm control
- ERP Studies: Event-related potential research
| Feature |
g.tec |
Brain Products |
OpenBCI |
| Channels |
Up to 256 |
Up to 256+ |
8-64 |
| Medical Cert |
Yes (some) |
Some |
No |
| Cost |
388976$ |
388976$ |
$ |
| Support |
Professional |
Professional |
Community |
g.tec's EEG systems are designed for high-fidelity neural recording:
g.REC High-Performance Amplifier:
- 256 channels maximum
- 24-bit ADC resolution
- Sampling rates up to 38.4 kHz
- Ultra-low noise (<1 μV)
- Configurable bandwidth
g.Nautilus Wireless System:
- 32 or 64 channels
- Integrated active electrodes
- 500 Hz sampling per channel
- <20 ms latency
- 8-hour battery life
g.HIsys - Real-time biosignal processing:
- Visual programming interface
- Low-latency signal processing
- Integration with external devices
- MATLAB/Simulink compatibility
BCI2000 Integration:
- Standard BCI research platform
- Multiple paradigm support
- Large plugin library
- Cross-platform compatibility
g.tec systems enable advanced cognitive research:
- Working memory: EEG correlates of cognitive load
- Attention: Event-related potential studies
- Consciousness: Neural correlates of awareness
- Learning: Neuroplasticity markers
Clinical applications supported:
- Epilepsy: Seizure detection and prediction
- Sleep: Polysomnography and sleep staging
- Stroke: Motor recovery monitoring
- Dementia: Cognitive decline biomarkers
g.tec occupies the premium research/clinical segment:
| Aspect |
g.tec |
Brain Products |
BioSemi |
OpenBCI |
| Price |
$$$ |
$$$ |
$$$ |
$ |
| Channels |
Up to 256 |
Up to 256+ |
Up to 256 |
8-64 |
| Support |
Professional |
Professional |
Professional |
Community |
| Medical CE |
Yes |
Partial |
Partial |
No |
g.tec is developing next-generation systems:
- Higher density: 512+ channel systems
- Wireless improvement: Extended battery, lower latency
- Dry electrodes: Compatible active dry sensors
- AI integration: Embedded machine learning
Planned software enhancements:
- Cloud-based data processing
- AI-assisted analysis
- Real-time source localization
- Integration with MEG systems
Published research using g.tec technology:
- Motor rehabilitation clinical trials
- BCI communication studies
- Neuroscience publications
- Medical device validations