Uploaded July 2025 | Updated September 2026, 1 day ago
How can EEG artifacts be removed in real time without compromising brain signal quality?
This webinar introduces OSCAR (Online Signal Conditioning and Artifact Removal), g.tec’s advanced real-time EEG artifact removal technology designed to improve signal quality, preserve neural activity, and enhance Brain-Computer Interface (BCI) performance.
EEG recordings are frequently contaminated by artifacts originating from eye movements, blinking, facial muscle activity (EMG), cable motion, electrical interference, stimulation artifacts, cardiac signals, and environmental noise. These artifacts can significantly reduce EEG quality, distort event-related potentials (ERP), impair P300 and motor imagery detection, and negatively affect BCI accuracy.
OSCAR addresses these challenges using adaptive, unsupervised signal processing and real-time artifact correction. The system automatically identifies transient artifacts based on their spatiotemporal characteristics, separates artifacts from neural activity, and reconstructs clean EEG signals without requiring calibration, reference channels, or manual intervention. OSCAR operates with low latency, making it suitable for real-time neurotechnology applications, BCI research, neurofeedback, cognitive monitoring, and clinical neuroscience.
The webinar demonstrates OSCAR Live, which performs online EEG artifact removal with delays as low as 250 milliseconds, enabling real-time processing for up to 64 EEG channels. Live demonstrations show successful removal of eye blinks, eye movements, muscle activity, cable artifacts, and motion artifacts while preserving alpha rhythms, visual evoked potentials (VEP), event-related potentials (ERP), and P300 responses.
The session also presents OSCAR Pro for offline EEG analysis and reviews extensive validation studies. Results demonstrate substantial recovery of underlying brain activity, improved signal quality, restoration of EEG source signals, and significant gains in BCI classification performance. Across large validation datasets, OSCAR consistently improves artifact-contaminated recordings while maintaining realistic EEG characteristics and preserving neurophysiological biomarkers.
OSCAR is integrated across the g.tec BCI platform as both a real-time and offline artifact removal solution. OSCAR Live can be used inside g.HIsys for online EEG signal processing and real-time Brain-Computer Interface experiments, while OSCAR Pro is available in g.BSanalyze for offline EEG analysis and post-processing. OSCAR is also integrated into g.tec’s ERP and EP-based BCI classifiers, where it helps improve P300, visual evoked potential, and event-related potential performance. This means researchers can use OSCAR throughout the complete g.tec workflow, from EEG acquisition with g.Nautilus, g.HIamp, or Unicorn Hybrid Black to real-time processing, artifact correction, neural decoding, BCI classification, and final data analysis.
OSCAR is part of g.tec’s comprehensive neurotechnology ecosystem for EEG signal processing, Brain-Computer Interfaces, neural engineering, neuroscience research, cognitive assessment, neurorehabilitation, ERP analysis, machine learning, real-time brain monitoring, and advanced biomedical signal processing.
More about g.tec Neurotechnology: https://www.gtec.at/
How can EEG artifacts be removed in real time without compromising brain signal quality?
This webinar introduces OSCAR (Online Signal Conditioning and Artifact Removal), g.tec’s advanced real-time EEG artifact removal technology designed to improve signal quality, preserve neural activity, and enhance Brain-Computer Interface (BCI) performance.
EEG recordings are frequently contaminated by artifacts originating from eye movements, blinking, facial muscle activity (EMG), cable motion, electrical interference, stimulation artifacts, cardiac signals, and environmental noise. These artifacts can significantly reduce EEG quality, distort event-related potentials (ERP), impair P300 and motor imagery detection, and negatively affect BCI accuracy.
OSCAR addresses these challenges using adaptive, unsupervised signal processing and real-time artifact correction. The system automatically identifies transient artifacts based on their spatiotemporal characteristics, separates artifacts from neural activity, and reconstructs clean EEG signals without requiring calibration, reference channels, or manual intervention. OSCAR operates with low latency, making it suitable for real-time neurotechnology applications, BCI research, neurofeedback, cognitive monitoring, and clinical neuroscience.
The webinar demonstrates OSCAR Live, which performs online EEG artifact removal with delays as low as 250 milliseconds, enabling real-time processing for up to 64 EEG channels. Live demonstrations show successful removal of eye blinks, eye movements, muscle activity, cable artifacts, and motion artifacts while preserving alpha rhythms, visual evoked potentials (VEP), event-related potentials (ERP), and P300 responses.
The session also presents OSCAR Pro for offline EEG analysis and reviews extensive validation studies. Results demonstrate substantial recovery of underlying brain activity, improved signal quality, restoration of EEG source signals, and significant gains in BCI classification performance. Across large validation datasets, OSCAR consistently improves artifact-contaminated recordings while maintaining realistic EEG characteristics and preserving neurophysiological biomarkers.
OSCAR is integrated across the g.tec BCI platform as both a real-time and offline artifact removal solution. OSCAR Live can be used inside g.HIsys for online EEG signal processing and real-time Brain-Computer Interface experiments, while OSCAR Pro is available in g.BSanalyze for offline EEG analysis and post-processing. OSCAR is also integrated into g.tec’s ERP and EP-based BCI classifiers, where it helps improve P300, visual evoked potential, and event-related potential performance. This means researchers can use OSCAR throughout the complete g.tec workflow, from EEG acquisition with g.Nautilus, g.HIamp, or Unicorn Hybrid Black to real-time processing, artifact correction, neural decoding, BCI classification, and final data analysis.
OSCAR is part of g.tec’s comprehensive neurotechnology ecosystem for EEG signal processing, Brain-Computer Interfaces, neural engineering, neuroscience research, cognitive assessment, neurorehabilitation, ERP analysis, machine learning, real-time brain monitoring, and advanced biomedical signal processing.
More about g.tec Neurotechnology: https://www.gtec.at/
