Guidewires-driven Deployable Electronics for Minimally Invasive Epidural Electrocorticographic Brain-computer Interface

This research direction focuses on the development and evaluation of a guidewires-driven electrocorticographic brain-computer interface (GD-BCI) designed for minimally invasive implantation. Traditional electrocorticography (ECoG) systems often present a trade-off between surgical invasiveness, spatial coverage, and electrode density. To address these limitations, this project explores a deployable electronic system capable of insertion into the epidural space via millimeter-scale craniotomies. The proposed architecture achieves a coverage area of 4 cm² with a high electrode density of 64 electrodes per cm², significantly reducing cerebral tissue damage and associated clinical risks. The methodology involves modeling the mechanical deployment of flexible electrode arrays using guidewire mechanisms, alongside simulating the acquisition and processing of high-density epidural

ECoG signals. Signal processing pipelines are structured to filter noise, extract spatial-temporal features, and evaluate decoding accuracy compared to conventional invasive cortical arrays. This research provides comprehensive guidance for modeling bio-compatible deployable electronics, optimizing electrode-tissue interfaces, and structuring robust neural decoding algorithms for advanced, low-risk brain-computer interfaces.

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