SOURCE-LINKED INTELLIGENCE

Epi-Show. Augmented Reality displaying Brain Signal to guide Epilepsy Surgery

CORDIS · observation · Publication date unknown

electrode grids enabling precise en sensitive recordings; 2) signal analysis, like the discovery of epileptic high frequency oscillations above 80 Hz, advanced baseline signal analysis algorithms and machine learning. In current clinical practice, the ioECoG signal is interpreted visually and findings are then orally communicated to the neurosurgeon. To employ ioECoG advancements, we need direct visual interoperability between the measurements, the analyses, and the neurosurgeon. Our proposed solution is using augmented reality to streamline the clinical work-flow and communication between neurophysiologists and neurosurgeons, simultaneously providing a flywheel for research and innovation, now stuck in time-consuming backward estimations of ioECoG electrode grid localisations. We added a company that is valorising augmented reality for neurosurgery (Augmedit) to our existing consortium between our epilepsy surgery referral center, an industrial product design company and ioECoG grid manufacturing company. We will adapt hardware and neurosurgical augmented reality software to direc

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recordType

award

status

SIGNED

region

EU

value

150000

unit

EUR