CMOS Analogue Velocity-Selective Neural Processing System

Author:

Sadrafshari Shamin1ORCID,Simmich Sebastian2ORCID,Metcalfe Benjamin1ORCID,Prager Jon3,Granger Nicolas3,Donaldson Nick4,Rieger Robert2ORCID,Taylor John1

Affiliation:

1. Department of Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UK

2. Department of Electrical and Information Engineering, Kiel University, 24143 Kiel, Germany

3. Department of Clinical Science and Services, The Royal Veterinary College, Hawkshead Lane, Brookmans Park, Hatfield AL9 7TA, UK

4. Department of Medical Physics and Bioengineering, University College London, London WC1E 6BT, UK

Abstract

Velocity-selective recording (VSR) of electroneurogram (ENG) signals is a frequently utilized technology in the field of neural recording with applications in clinical medicine and neuroprosthetics. VSR classifies excited axon populations in terms of their conduction velocities using multiple recordings of the same ENG signal and addition of the recording channels after introducing controlled time delays. This paper describes the first fully integrated analogue realization of the complete delay-and-add process with nine channels. The proposed approach uses switched-capacitor (SC) circuits and avoids the need for ADCs at the inputs of the delay-and-add circuit to achieve a small size and low power implementation. Simulated and measured results obtained from chips fabricated in 0.35 µm CMOS technology are reported. The system occupies a 1.16 mm2 active area and consumes 798 µW from a 3 V supply, while achieving a wide velocity detection range of 10–300 m/s with a precise relative velocity resolution down to 0.003. Intrinsic velocity spectra measured from synthetic ENG inputs confirm the operation of the system.

Funder

Deutsche Forschungsgemeinschaft

Engineering and Physical Sciences Research Council

Land Schleswig-Holstein

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

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