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B. W. Metcalfe,T. N. Nielsen,N. de N. Donaldson,A. J. Hunter,J. T. Taylor 대한의용생체공학회 2018 Biomedical Engineering Letters (BMEL) Vol.8 No.1
Neural interfaces have great potential to treat disease and disability by modulating the electrical signals within the nervoussystem. However, whilst neural stimulation is a well-established technique, current neural interfaces are limited by poorrecording ability. Low signal amplitudes necessitate the use of highly invasive techniques that divide or penetrate thenerve, and as such are unsuitable for chronic implantation. In this paper, we present the first application of the velocityselective recording technique to the detection of respiration activity in the vagus nerve, which is involved with treatmentsfor epilepsy, depression, and rheumatoid arthritis. Further, we show this using a chronically implantable interface that doesnot divide the nerve. We also validate our recording setup using electrical stimulation and we present an analysis of therecorded signal amplitudes. The recording interface was formed from a cuff containing ten electrodes implanted around theintact right vagus nerve of a Danish Landrace pig. Nine differential amplifiers were connected to adjacent electrodes, andthe resulting signals were processed to discriminate neural activity based on conduction velocity. Despite the averagesingle channel signal-to-noise ratio of - 5.8 dB, it was possible to observe distinct action potentials travelling in bothdirections along the nerve. Further, contrary to expectation given the low signal-to-noise ratio, we have shown that it waspossible to identify afferent neural activity that encoded respiration. The significance of this is the demonstration of achronically implantable method for neural recording, a result that will transform the capabilities of future neuroprostheses.