G.TEC presents GuestXR results in its BCI & Neurotechnology Spring School
Results from the GuestXR project have been shared during the 2024 edition of the BCI & Neurotechnology Spring School, organised by project partner g.tec medical engineering GmbH between April 22nd and May 1st.
During the inaugural keynote of the event “Brain-computer interface and neurotechnology overview”, Dr. Christoph Guger, CEO at g.tec medical engineering GmbH, presented GuestXR research related to the development of an electrophysiology training environment.
This environment allows recording different biosignals, including electroencephalography (EEG), electrocardiogram (ECG) or electromyography (EMG), among others, to distinguish and classify affective categories.
Within GuestXR project, g.tec has developed an online signal conditioning and artifact removal tool to remove artifacts in EEG signals due to head movement or facial muscle activations. It is fully real-time capable and does not require explicit training.
g.tec also started the work on the classification of user states using EEG signals. EEG signals were recorded when the user was performing tasks where selective and sustained attention was required, and the engagement levels were classified using EEG features. Both the artifact removal tool and user-states classification method are being integrated into the electrophysiology environment for GuestXR use cases.
You can retrieve the inaugural keynote from Dr. Christoph Guger here (from the minute 13’30”):
This year’s edition of the Spring School achieved record-breaking attendance, attracting 82,881 participants from 118 countries. The event included 140 hours of cutting-edge education on neurotechnology over 10 days, featuring 85 speakers representing 86 institutions. The session presenting GuestXR results was attended by 3,200 professionals.
