PHYSIOLOGICAL & BIOSIGNAL SENSORS

Yes. Compatible g.tec systems can acquire EEG together with physiological signals such as ECG, EMG, EOG, GSR/EDA, respiration, SpO₂, pulse, temperature and other sensor signals. For example, g.Nautilus Multi-Purpose is specifically designed for synchronized Brain & Body monitoring and allows neural and physiological signals to be acquired within the same system and time base.

The exact combination depends on the selected amplifier and channel configuration. Typical multimodal setups can combine EEG with ECG, EMG, EOG, GSR/EDA, respiration effort or airflow, SpO₂, pulse, temperature, acceleration and other physiological measurements. fNIRS can additionally be combined with EEG for simultaneous electrophysiological and hemodynamic measurements.

This depends primarily on whether the experiment is mobile or laboratory-based and on the required number and type of channels. g.Nautilus Multi-Purpose is designed for wireless EEG and physiological monitoring, while g.HIamp is suited to high-channel-count laboratory and multimodal experiments. g.USBamp provides a flexible platform for EEG and other electrophysiological and physiological signals. Developer access through g.NEEDaccess is available for g.HIamp, g.USBamp and g.Nautilus.

Whenever possible, physiological signals can be acquired through the same g.tec acquisition environment as the EEG, keeping the signals within a common acquisition workflow rather than recording each modality independently. Digital hardware triggers can be used to mark stimuli and experimental events, while supported software interfaces can integrate additional external data streams. This is particularly important because EEG, cardiovascular, respiratory, autonomic and hemodynamic responses occur on very different time scales.

Yes. g.NEEDaccess provides Python, MATLAB, C and .NET APIs for g.HIamp, g.USBamp and g.Nautilus, allowing researchers to develop their own acquisition and analysis applications. The APIs provide access to device configuration and acquired data, and the MATLAB API additionally exposes functions such as available channels, filters, supported sampling rates, impedance measurements, scaling factors and offsets.

Yes, LSL is supported within relevant g.tec software workflows and can be used to integrate g.tec biosignals with other LSL-enabled research tools and data streams. This is useful for multimodal experiments involving additional systems such as eye tracking, motion capture, VR or other external research equipment. The exact integration depends on the selected hardware and software configuration.

g.tec provides programmatic access to acquired biosignal data through g.NEEDaccess, including Python, MATLAB, C and .NET interfaces. The APIs allow researchers to retrieve acquired samples and obtain information such as channel configuration, supported sampling rates, scaling factors and offsets, making it possible to build custom signal-processing, visualization, classification or machine-learning applications outside the standard g.tec analysis workflow.

Yes. g.HIsys Professional provides the real-time processing environment within the g.tec software ecosystem and supports workflows involving biosignal acquisition, processing, feature extraction, classification, visualization, event handling and interfaces to external devices or stimulation systems. Researchers can therefore use physiological signals not only for offline analysis but also as inputs to real-time neuroscience, BCI and closed-loop experiments.

g.Recorder provides the recording environment for synchronized biosignals, triggers and experimental events, while recorded data can subsequently be analyzed with g.BSanalyze or incorporated into custom analysis workflows. g.Recorder supports synchronization with experimental paradigms and forms part of the same g.tec Suite environment as g.HIsys, g.BSanalyze and g.NEEDaccess.

Yes. g.SENSOR 8 fNIRS was designed for combined EEG and fNIRS research. It uses 8 LED transmitters and 2 receivers to provide 8 fNIRS channels at 760 and 850 nm and provides optical density, oxyhemoglobin (HbO), deoxyhemoglobin (HbR), sample-count and signal-quality outputs. Low-power transmitters are intended for frontal recordings, while high-power transmitters are used for central/motor-area measurements.