Biomed Eng Lett.  2018 Feb;8(1):127-136. 10.1007/s13534-017-0054-z.

First demonstration of velocity selective recording from the pig vagus using a nerve cuff shows respiration afferents

Affiliations
  • 1Department of Electronic and Electrical Engineering, University of Bath, Bath, England, UK. b.w.metcalfe@bath.ac.uk
  • 2Department of Health Science and Technology, Aalborg Universitet, Aalborg, Denmark.
  • 3Department of Medical Physics and Bioengineering, University College London, London, England, UK.
  • 4Department of Mechanical Engineering, University of Bath, Bath, England, UK.

Abstract

Neural interfaces have great potential to treat disease and disability by modulating the electrical signals within the nervous system. However, whilst neural stimulation is a well-established technique, current neural interfaces are limited by poor recording ability. Low signal amplitudes necessitate the use of highly invasive techniques that divide or penetrate the nerve, and as such are unsuitable for chronic implantation. In this paper, we present the first application of the velocity selective recording technique to the detection of respiration activity in the vagus nerve, which is involved with treatments for epilepsy, depression, and rheumatoid arthritis. Further, we show this using a chronically implantable interface that does not divide the nerve. We also validate our recording setup using electrical stimulation and we present an analysis of the recorded signal amplitudes. The recording interface was formed from a cuff containing ten electrodes implanted around the intact right vagus nerve of a Danish Landrace pig. Nine differential amplifiers were connected to adjacent electrodes, and the resulting signals were processed to discriminate neural activity based on conduction velocity. Despite the average single channel signal-to-noise ratio of - 5.8 dB, it was possible to observe distinct action potentials travelling in both directions along the nerve. Further, contrary to expectation given the low signal-to-noise ratio, we have shown that it was possible to identify afferent neural activity that encoded respiration. The significance of this is the demonstration of a chronically implantable method for neural recording, a result that will transform the capabilities of future neuroprostheses.

Keyword

ENG; VSR; Neural interface; MEC; CAP

MeSH Terms

Action Potentials
Arthritis, Rheumatoid
Depression
Electric Stimulation
Electrodes
Epilepsy
Methods
Nervous System
Respiration*
Signal-To-Noise Ratio
Vagus Nerve
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