A New BCI Paradigm To Detect Intraoperative Awareness During General Anesthesia – BCI4IA

The BCI4IA project aims to design a brain-computer interface for detecting intraoperative awareness during general anesthesia (GA). No satisfactory solution exists when this phenomenon causes severe post-traumatic stress disorder. The first reaction of patients is to move, but the curarization used in surgery paralyzes them. We want to study motor brain activity under GA using electroencephalography to detect markers of motor intention. We will observe a combination of markers (relative powers, connectivity ...) under propofol with and without a median nerve stimulation to amplify them and we will design non-existent classification methods by adapting transfer learning in Riemannian geometry for this problem where only the examples of one class are available, that of rest, since we have no examples of motor intention of the patient under GA.