Miniaturized loop antennas for wireless brain-machine interfaces: Efficiency enhancement and link characterizations

摘要

Brain-machine interface (BMI) is a communication technology that links humans and artificial devices through the neural signals extracted by neural sensing systems. Reliable power supply and communication to miniature implants are currently one of the big challenges. In this paper we proposed an optimized implantable antenna transferring power and data efficiently with a low profile external transmitting antenna by utilizing RFID backscattering technique. We characterized the coupling enhancement by simulating the wireless link with head models. Prototypes were measured and characterized in terms of absorption level and channel capacity. The proposed antenna system provides wireless and fully-passive solution for multichannel neural recording systems.