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#frAIday hybrid
You can join via Zoom or in Seminarierummet (MIT.A.216), Umeå University, where Professor Marta Molinas will be present. Welcome!
Abstract
Over the past century, EEG technology has evolved from Hans Berger’s initial recordings with two electrodes to modern systems with over 300 electrodes. Recently, consumer-grade EEG devices with lower electrode density have emerged, laying the groundwork for EEG-based Brain-Computer Interfaces (BCIs) used in neurorehabilitation, biofeedback, and communication for people with disabilities. Current BCIs rely on the analysis of surface level signals from scalp electrodes, but brain source analysis (EEG source imaging) offers a more accurate view of brain function by looking deeper into the brain.
The talk will present a method to obtain precise EEG source imaging using low electrode density EEG suitable for home use, validated against high-density EEG. This technique, tested in games for neurorehabilitation, is being expanded for Locked-In Syndrome communication and dream decoding, with a prototype, FlexEEG, in testing at NTNU.
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Marta Molinas is a Professor of Electrical Engineering at the Norwegian University of Science and Technology (NTNU), where she leads the Brain Cybernetics Lab. She earned her Doctor of Engineering degree from the Tokyo Institute of Technology in 2000 and has held positions as a JSPS Fellow in Japan and a visiting professor at Columbia University. Her research focuses on developing innovative Brain-Computer Interface (BCI) systems for both medical and non-medical applications. Dr. Molinas is a Fellow of IEEE and serves on editorial boards for several prominent scientific journals.