Evaluation of a minimally invasive endovascular neural interface for decoding motor activity
IA Forsyth, M Dunston, G Lombardi, GS Rind, S Ronayne, YT Wong, CN May, DB Grayden, T Oxley, N Opie, SE John
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) | IEEE | Published : 2019
Endovascular devices like the Stentrode™ provide a minimally invasive approach to brain-machine-interfaces that mitigates safety concerns while maintaining good signal quality. Our research aims to evaluate the feasibility of using a stent-electrode array (Stentrode) to decode movements in sheep. In this study, two sheep were trained to perform an automated forced-choice task designed to elicit left and right head movement following an external stimulus. Cortical, movement-related signals were recorded using a Stentrode placed in the superior sagittal sinus adjacent to the motor cortex. Recorded brain signal was used to train a support vector machine classifier. Our results show that the Ste..View full abstract
Research supported by National Health and Medical Research Council; US Defense Advanced Research Projects Agency (DARPA) Microsystems Technology Office contract; Office of Naval Research (ONR) Global; and the Westpac Bicentennial Foundation.