NAUTILUS RESEARCH

Wireless EEG systems allow researchers to record brain activity without long electrode cables connecting participants to a stationary amplifier. This significantly improves experimental flexibility and enables EEG recordings during walking, running, virtual reality, human-machine interaction, sports science, and field studies. By mounting the amplifier directly on the EEG cap, cable movement is minimized, reducing motion-related artifacts and allowing more ecologically valid neuroscience experiments.

Both electrode technologies use active amplification but are optimized for different experimental workflows.

g.SAHARA Hybrid electrodes support both dry and gel-assisted recordings, allowing researchers to rapidly prepare participants for mobile experiments while retaining the option to further reduce electrode impedance when required. They are particularly well suited for mobile neuroscience, sports science, human factors, virtual reality, and repeated measurements.

g.SCARABEO electrodes are active wet EEG electrodes designed for applications requiring consistently low electrode impedance and maximum recording stability. They are widely used in cognitive neuroscience, Brain-Computer Interface research, multimodal neuroimaging, and experiments requiring long recording sessions or high-density EEG.

Different neuroscience experiments require different electrode montages. Rather than restricting researchers to predefined electrode layouts, g.Nautilus Research allows flexible positioning of active EEG electrodes to target specific cortical regions or implement custom electrode configurations. This flexibility supports cognitive neuroscience, Brain-Computer Interfaces, source localization studies, neuroimaging, neurorehabilitation, and experimental paradigms that require optimized spatial sampling.

Yes. g.Nautilus Research was specifically developed for mobile neuroscience and real-world experiments. The lightweight amplifier is mounted directly on the EEG cap, minimizing cable movement, while active EEG electrodes reduce susceptibility to motion-induced artifacts. This enables reliable EEG acquisition during walking, running, cycling, balance tasks, rehabilitation exercises, sports science, virtual reality, and human factors research.

Yes. g.Nautilus Research integrates directly with g.SENSOR fNIRS to acquire synchronized electrophysiological and hemodynamic measurements. EEG provides millisecond temporal resolution of neuronal activity, while fNIRS measures changes in cerebral oxygenation and blood volume. The combination enables multimodal investigations of neurovascular coupling, cognitive processing, motor control, rehabilitation, Brain-Computer Interfaces, and functional brain imaging.

Yes. g.Nautilus Research supports synchronization with eye trackers, motion capture systems, virtual reality environments, robotics, physiological sensors, stimulation devices, and other external equipment through digital trigger inputs and Lab Streaming Layer (LSL). This enables precise temporal alignment of EEG with behavioral, physiological, and environmental data streams in multimodal neuroscience experiments.

Yes. The platform is widely used for research on Motor Imagery, P300, SSVEP, hybrid Brain-Computer Interfaces, neurofeedback, and real-time neural decoding. The combination of active EEG electrodes, wireless acquisition, flexible electrode positioning, and real-time software support enables researchers to develop and evaluate Brain-Computer Interfaces both inside and outside the laboratory.

Yes. g.Nautilus Research provides an open development environment for custom neuroscience applications. Researchers have real-time access to raw EEG data and can implement their own acquisition, preprocessing, signal processing, feature extraction, machine learning, visualization, and Brain-Computer Interface algorithms using Python, MATLAB, Simulink, Lab Streaming Layer (LSL), g.Pype, and g.NEEDaccess APIs.

For researchers who prefer to focus on neuroscience rather than software development, g.tec Suite 2024 provides a comprehensive software ecosystem that dramatically reduces development time. The suite includes g.Recorder for high-performance EEG acquisition, g.HIsys for real-time signal processing and Brain-Computer Interface applications, g.BSanalyze for offline EEG analysis and artifact processing, and g.Pype for Python-based development with prebuilt processing blocks, reusable pipelines, and seamless integration of custom Python code. Ready-to-use applications for P300, Motor Imagery, SSVEP, neurofeedback, and multimodal data acquisition allow researchers to begin experiments immediately without implementing the complete software infrastructure from scratch.

At the same time, every component remains fully customizable. Researchers can modify existing processing pipelines, integrate their own algorithms, connect external software through Lab Streaming Layer (LSL), or develop entirely new neuroscience applications while benefiting from a mature and validated software platform.

The signal quality of g.Nautilus Research has been independently evaluated in a peer-reviewed study published in Frontiers in Physiology, where multiple wireless EEG systems were compared using artifact analysis, signal-to-noise ratio, and established neurophysiological paradigms. The study identified g.Nautilus with active EEG electrodes as one of the highest-performing systems, demonstrating excellent recording quality for both laboratory and mobile neuroscience applications.

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g.Nautilus Research supports a broad range of neuroscience applications, including cognitive neuroscience, mobile EEG, Brain-Computer Interfaces, virtual reality, neuroergonomics, human factors, sports science, multimodal neuroimaging, EEG-fNIRS, robotics, neurorehabilitation, psychology, pediatric neuroscience, machine learning, and real-world neuroscience. The combination of wireless acquisition, active EEG technology, flexible electrode positioning, and multimodal integration makes it suitable for experiments that extend beyond traditional laboratory environments.