Noise and selectivity of velocity-selective multi-electrode nerve cuffs

Using a multi-electrode nerve-signal recording cuff and a method of signal processing described previously, activity in axons with different propagation velocities can be distinguished, and the relative amplitude of the small-fibre signals increased. This paper is, largely, an analysis of the selectivity and noise of this system though impedance measurements from an actual cuff are included. The signal processor includes narrow band-pass filters. It is shown that the selectivity and noise both increase with the centre frequencies of these filters. A convenient approach is to make the filter frequencies inversely related to the artificial time delays so that the filter ‘Q’s are approximately constant and the noise densities are equal for all velocity filters. Numerical calculations, using formulae for this system and for the conventional tripole, based on a fixed cuff size and tissue resistivity, find the number of action potentials per second that must pass through the cuff so that the signal power equals the noise power. For slow fibres (20 m/s), the rate is 14 times lower for the multi-electrode cuff than the tripole, a significant advantage for recording from these fibres.

[1]  I N Bronstein,et al.  Taschenbuch der Mathematik , 1966 .

[2]  M. McGlamery Mammalian Muscle Receptors and Their Central Actions , 1973 .

[3]  R. Stein,et al.  Principles Underlying New Methods for Chronic Neural Recording , 1975, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

[4]  J. Struijk,et al.  The extracellular potential of a myelinated nerve fiber in an unbounded medium and in nerve cuff models. , 1997, Biophysical journal.

[5]  D. Rushton,et al.  Technical note. Estimated electrode operating conditions of the first London Mk V implanted stimulator. , 1998, Journal of medical engineering & technology.

[6]  T. Stieglitz,et al.  Reducing stiffness and electrical losses of high channel hybrid nerve cuff electrodes , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  A. Demosthenous,et al.  Design of a low-noise preamplifier for nerve cuff electrode recording , 2003, IEEE J. Solid State Circuits.

[8]  Andreas Inmann,et al.  Implementation of natural sensory feedback in a portable control system for a hand grasp neuroprosthesis. , 2004, Medical engineering & physics.

[9]  Iasonas F. Triantis,et al.  On cuff imbalance and tripolar ENG amplifier configurations , 2005, IEEE Transactions on Biomedical Engineering.

[10]  Silvestro Micera,et al.  A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems , 2005, Journal of the peripheral nervous system : JPNS.

[11]  T. Sinkjaer,et al.  Implantable telemeter for long-term electroneurographic recordings in animals and humans , 2003, Medical and Biological Engineering and Computing.

[12]  N. Donaldson,et al.  Multiple-electrode nerve cuffs for low-velocity and velocity-selective neural recording , 2004, Medical and Biological Engineering and Computing.

[13]  D. Pal,et al.  Very Low-Noise ENG Amplifier System Using CMOS Technology , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[14]  M. Schuettler,et al.  Velocity-Selective Recording from Frog Nerve Using a Multi-Contact Cuff Electrode , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[15]  Lotte N. S. Andreasen Struijk,et al.  Model-based evaluation of the short-circuited tripolar cuff configuration , 2006, Medical and Biological Engineering and Computing.

[16]  W. Grill,et al.  Electrical properties of implant encapsulation tissue , 2006, Annals of Biomedical Engineering.

[17]  Jian Zhang,et al.  Residual motor signal in long-term human severed peripheral nerves and feasibility of neural signal-controlled artificial limb. , 2007, The Journal of hand surgery.

[18]  Andreas Demosthenous,et al.  Platinum electrode noise in the ENG spectrum , 2008, Medical & Biological Engineering & Computing.