title: Feasibility study for future implantable neural-silicon interface devices.
abstract: The emerging neural-silicon interface devices bridge nerve systems with artificial systems and play a key role in neuro-prostheses and neuro-rehabilitation applications. Integrating neural signal collection, processing and transmission on a single device will make clinical applications more practical and feasible. This paper focuses on the wireless antenna part and real-time neural signal analysis part of implantable brain-machine interface (BMI) devices. We propose to use millimeter-wave for wireless connections between different areas of a brain. Various antenna, including microstrip patch, monopole antenna and substrate integrated waveguide antenna are considered for the intra-cortical proximity communication. A Hebbian eigenfilter based method is proposed for multi-channel neuronal spike sorting. Folding and parallel design techniques are employed to explore various structures and make a trade-off between area and power consumption. Field programmable logic arrays (FPGAs) are used to evaluate various structures.
authors.affiliation: Department of Electronic and Electrical Engineering, UCL, Torrington Place WC1E 7JE, UK. allann.al-armaghany@ee.ucl.ac.uk
authors.forename: Allann
authors.initials: A
authors.lastname: Al-Armaghany
authors.forename: Bo
authors.initials: B
authors.lastname: Yu
authors.forename: Terrence
authors.initials: T
authors.lastname: Mak
authors.forename: Kin-Fai
authors.initials: KF
authors.lastname: Tong
authors.forename: Yihe
authors.initials: Y
authors.lastname: Sun
mesh_terms: D005240:Feasibility Studies; D008328:Man-Machine Systems; D019736:Prostheses and Implants; D012825:Silicon
chemical_list: D012825:Silicon