An implantable ENG detector with in-system velocity selective recording (VSR) capability

Abstract

Detection and classification of electroneurogram (ENG) signals in the peripheral nervous system can be achieved by velocity selective recording (VSR) using multi-electrode arrays. This paper describes an implantable VSR-based ENG recording system representing a significant development in the field since it is the first system of its type that can record naturally evoked ENG and be interfaced wirelessly using a low data rate transcutaneous link. The system consists of two CMOS ASICs one of which is placed close to the multi-electrode cuff array (MEC), whilst the other is mounted close to the wireless link. The digital ASIC provides the signal processing required to detect selectively ENG signals based on velocity. The design makes use of an original architecture that is suitable for implantation and reduces the required data rate for transmission to units placed outside the body. Complete measured electrical data from samples of the ASICs are presented that show that the system has the capability to record signals of amplitude as low as 0.5 μV, which is adequate for the recording of naturally evoked ENG. In addition, measurements of electrically evoked ENG from the explanted sciatic nerves of Xenopus Laevis frogs are presented.

CMOS Analogue Velocity-Selective Neural Processing System

“…The low-noise pre-amplifiers and dipole amplifiers have already been reported elsewhere and are therefore not considered here [22]. The delay-and-add stage can be implemented using digital technology or, alternatively, in the case of an implanted system, external to the body using a software or FPGA realization operating offline [23,24]. For a fully integrated implanted system, digital technology is a practical possibility.…”