title: 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.
authors.affiliation: Department of Electronic and Electrical Engineering, University of Bath, Bath, UK.
authors.forename: Chris
authors.initials: C
authors.lastname: Clarke
authors.affiliation: Electrical Engineering Department, National Sun Yat-Sen University, 804, Kaohsiung, Taiwan.
authors.forename: Robert
authors.initials: R
authors.lastname: Rieger
authors.affiliation: Laboratory for Biomedical Microtechnology, Department of Microsystems Engineering IMTEK, University of Freiburg, Freiburg, Germany.
authors.forename: Martin
authors.initials: M
authors.lastname: Schuettler
authors.affiliation: Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
authors.forename: Nick
authors.initials: N
authors.lastname: Donaldson
authors.affiliation: Department of Electronic and Electrical Engineering, University of Bath, Bath, UK. eesjtt@bath.ac.uk.
authors.forename: John
authors.identifier: http://orcid.org/0000-0001-5558-1728
authors.initials: J
authors.lastname: Taylor
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000818:Animals; D004566:Electrodes; D004867:Equipment Design / Q000295:instrumentation; D019736:Prostheses and Implants; D012584:Sciatic Nerve / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D014982:Xenopus laevis / Q000502:physiology
keywords: Biomedical signal processing; Biomedical transducers; Microelectronic implants; Neural prosthesis