Litcius/Paper detail

Non-invasive on-skin sensors for brain machine interfaces with epitaxial graphene

Shaikh Nayeem Faisal, Mojtaba Amjadipour, Kimi Izzo, J. Singer, Avi Bendavid, Chin‐Teng Lin, Francesca Iacopi

2021Journal of Neural Engineering20 citationsDOIOpen Access PDF

Abstract

Abstract Objective . Brain–machine interfaces are key components for the development of hands-free, brain-controlled devices. Electroencephalogram (EEG) electrodes are particularly attractive for harvesting the neural signals in a non-invasive fashion. Approach. Here, we explore the use of epitaxial graphene (EG) grown on silicon carbide on silicon for detecting the EEG signals with high sensitivity. Main results and significance. This dry and non-invasive approach exhibits a markedly improved skin contact impedance when benchmarked to commercial dry electrodes, as well as superior robustness, allowing prolonged and repeated use also in a highly saline environment. In addition, we report the newly observed phenomenon of surface conditioning of the EG electrodes. The prolonged contact of the EG with the skin electrolytes functionalize the grain boundaries of the graphene, leading to the formation of a thin surface film of water through physisorption and consequently reducing its contact impedance more than three-fold. This effect is primed in highly saline environments, and could be also further tailored as pre-conditioning to enhance the performance and reliability of the EG sensors.

Topics & Concepts

Materials scienceGrapheneElectrical impedanceElectrodeSilicon carbideBiomedical engineeringElectroencephalographySiliconNanotechnologyOptoelectronicsRobustness (evolution)Computer scienceComposite materialElectrical engineeringMedicineChemistryGenePhysical chemistryEngineeringPsychiatryBiochemistryAdvanced Memory and Neural ComputingNeuroscience and Neural EngineeringAdvanced Sensor and Energy Harvesting Materials