Uploaded July 2025 | Updated September 2026, 1 day ago
How do you combine EEG, ECoG, EMG, ECG, eye tracking, fNIRS, motion sensors, and other biosignals into a single synchronized neurotechnology experiment?
In this webinar, g.tec demonstrates how researchers can build advanced multi-modal neuroscience and Brain-Computer Interface (BCI) systems by combining multiple amplifiers, biosignal sensors, and real-time processing tools within a unified workflow. The session covers practical approaches for integrating EEG, ECoG, EMG, ECG, respiration, galvanic skin response (GSR), eye tracking, motion tracking, fNIRS, and other physiological measurements into synchronized neuroscience experiments.
Using g.tec technologies including g.Nautilus, g.HIamp, g.HIsys, and real-time signal processing tools, researchers can acquire, synchronize, analyze, and visualize multiple data streams simultaneously. The webinar demonstrates how data from different sensors can be combined using Lab Streaming Layer (LSL), UDP communication, hardware triggers, and MATLAB Simulink-based workflows for rapid prototyping and advanced Brain-Computer Interface development.
The presentation highlights applications across neuroscience research, clinical neuroscience, neurorehabilitation, neuroergonomics, sports science, cognitive monitoring, driver drowsiness detection, aviation research, hyperscanning, human-computer interaction, neuroprosthetics, and assistive technology. Examples include synchronized EEG and eye-tracking studies, EEG-fNIRS hybrid BCIs, multi-subject hyperscanning experiments, physiological monitoring during driving and flight simulation, and high-density neural recordings for functional brain mapping.
A key advantage of the g.tec BCI ecosystem is that it supports the entire neurotechnology workflow: from neural signal acquisition and biosignal synchronization to real-time processing, machine learning, neural decoding, and Brain-Computer Interface applications. Researchers can combine invasive and non-invasive neurotechnology platforms within a flexible framework that scales from simple EEG experiments to large-scale multi-modal neuroscience studies.
This webinar is relevant for researchers working in Brain-Computer Interfaces, EEG, ECoG, fNIRS, neurotechnology, neural decoding, machine learning, cognitive neuroscience, neurorehabilitation, neuroprosthetics, human-computer interaction, real-time signal processing, hyperscanning, functional brain mapping, and translational neuroscience.
More about g.tec medical engineering: https://www.gtec.at/
More about g.HIamp: https://www.gtec.at/product/g-hiamp-highspeed-online-processing-biosignal-amplifier/
More about g.Nautilus: https://www.gtec.at/product/g-nautilus-pro-flexible/
How do you combine EEG, ECoG, EMG, ECG, eye tracking, fNIRS, motion sensors, and other biosignals into a single synchronized neurotechnology experiment?
In this webinar, g.tec demonstrates how researchers can build advanced multi-modal neuroscience and Brain-Computer Interface (BCI) systems by combining multiple amplifiers, biosignal sensors, and real-time processing tools within a unified workflow. The session covers practical approaches for integrating EEG, ECoG, EMG, ECG, respiration, galvanic skin response (GSR), eye tracking, motion tracking, fNIRS, and other physiological measurements into synchronized neuroscience experiments.
Using g.tec technologies including g.Nautilus, g.HIamp, g.HIsys, and real-time signal processing tools, researchers can acquire, synchronize, analyze, and visualize multiple data streams simultaneously. The webinar demonstrates how data from different sensors can be combined using Lab Streaming Layer (LSL), UDP communication, hardware triggers, and MATLAB Simulink-based workflows for rapid prototyping and advanced Brain-Computer Interface development.
The presentation highlights applications across neuroscience research, clinical neuroscience, neurorehabilitation, neuroergonomics, sports science, cognitive monitoring, driver drowsiness detection, aviation research, hyperscanning, human-computer interaction, neuroprosthetics, and assistive technology. Examples include synchronized EEG and eye-tracking studies, EEG-fNIRS hybrid BCIs, multi-subject hyperscanning experiments, physiological monitoring during driving and flight simulation, and high-density neural recordings for functional brain mapping.
A key advantage of the g.tec BCI ecosystem is that it supports the entire neurotechnology workflow: from neural signal acquisition and biosignal synchronization to real-time processing, machine learning, neural decoding, and Brain-Computer Interface applications. Researchers can combine invasive and non-invasive neurotechnology platforms within a flexible framework that scales from simple EEG experiments to large-scale multi-modal neuroscience studies.
This webinar is relevant for researchers working in Brain-Computer Interfaces, EEG, ECoG, fNIRS, neurotechnology, neural decoding, machine learning, cognitive neuroscience, neurorehabilitation, neuroprosthetics, human-computer interaction, real-time signal processing, hyperscanning, functional brain mapping, and translational neuroscience.
More about g.tec medical engineering: https://www.gtec.at/
More about g.HIamp: https://www.gtec.at/product/g-hiamp-highspeed-online-processing-biosignal-amplifier/
More about g.Nautilus: https://www.gtec.at/product/g-nautilus-pro-flexible/
