Abstract
In the paper, a method using multiple-electrode nerve cuffs is presented that enables electroneurographic signals (ENG) to be recorded selectively by action potential velocity. The theory uses a one-dimensional model of the electrodes in the cuff. Using this model, the transfer function for a single tripole is derived, and it is shown that more than one tripole signal can be recorded from within a cuff. When many tripole signals are available and are temporally aligned by artificial delays and summed, there is a significant increase in the amplitude of the recorded action potential, depending on the cuff length and the action potential velocity, with the greatest gain occurring for low velocities. For example, a cuff was considered that was constrained by surgical considerations to 30 mm between the end electrodes. For action potentials with a velocity of 120 ms−1, it was shown that, as the number of tripoles increased from one, the peak energy spectral density of the recorded output increased by a factor of about 1.6 with three tripoles, whereas, for 20 ms−1, the increase was about 19, with ten tripoles. The time delays and summation act as a velocity-selective filter. With consideration of the energy spectral densities at frequencies where are maximum (to give the best signal-to-noise ratio), the tuning curves are presented for these velocity-selective filters and show that useful velocity resolution is possible using this method. For a 30 mm cuff with nine tripoles, it is demonstrated that it is possible to resolve at least five distinct velocity bands in the range 20–120 ms−1.
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Andreassen, S., Stein, R. B., andOguztorelli, M. N. (1979): ‘Application of optimal multichannel filtering to simulated nerve signals’,Biol. Cyberdynam.,32, pp. 25–33
Chiu, S. Y., Ritchie, J. M., Rogart, R. B., andStagg, D. (1979): ‘A quantitative description of membrane currents in rabbit myelinated nerve’,J. Physiol. (Lond.),292, pp. 149–166
Fitzhugh, R. (1962): ‘Computation of impulse initiation and salutatory conduction in a myelinated nerve fibre’,Biophys. J.,2, pp. 11–21
Glenn, W. W. L., andPhelps, M. L. (1985): ‘Diaphragm pacing by electrical stimulation of the phrenic nerve’,Neurosurg.,17, pp. 974–984
Grill, W. M., andMortimer, J. T. (1994): ‘Electrical properties of implant encapsulation tissue’,Ann. Biomed. Eng.,22, pp. 23–33
Hansen, M., Haugland, M., Sinkjaer, T., andDonaldson, N. (2002): ‘Real time drop foot correction using machine learning and natural sensors’,Neuromodulation,5, pp. 41–53
Haugland, M. K., andHoffer, J. A. (1994): ‘Slip information obtained from the cutaneous electroneurogram: Application in closed loop control of functional electrical stimulation’,IEEE Trans. Rehab. Eng.,2, pp. 29–36.
Haugland, M. K., Hoffer, J. A., andSinkjaer, T. (1994): ‘Skin contact force information in sensory nerve signals recorded by implanted cuff electrodes’,IEEE Trans. Rehab. Eng.,2, pp. 18–28.
Haugland, M. K., andSinkjaer, T. (1995): ‘Cutaneous whole nerve recordings used for correction of footdrop in hemiplegic man’,IEEE Trans. Rehab. Eng.,3, pp. 307–317.
Haugland, M., Lickel, A., Haase, J., andSinkjaer, T. (1999): ‘Control of FES thumb force using slip information obtained from the cutaneous electroneurogram in quadriplegic man’,IEEE Trans. Rehab. Eng.,7, pp. 215–227
Heetderks, W. J., andWilliams, W. J. (1975): ‘Partition of gross peripheral nerve activity into single unit responses by correlation techniques’,Science,188, pp. 373–375
Hoffer, J. A. (1990): ‘Techniques to study spinal cord, peripheral nerve and muscle activity in freely moving animals’, inBoulton, A. A., Baker, G. B., andVanderwolf, C. H. (Eds): ‘Neuromethods, 15: Neurophysiological techniques: applications to neural systems’ (The Humana Press Inc., Clifton, NJ, 1990), pp. 65–145
Hursh, J. B., (1939): ‘Conduction velocity and diameter of nerve fibres’,Am. J. Physiol.,127, pp. 131–139.
Larsen, J. O., Thomsen, M., Haugland, M., andSinkjaer, T. (1998): ‘Degeneration and regeneration in rabbit peripheral nerve with long term nerve cuff electrode implant: A stereological study of myelinated and unmyelinated axons’,Acta Neuropathologica,96, pp. 365–378
Marks, W. B., andLoeb, G. E. (1976): ‘Action currents, internodal potentials and extracellular records of myelenated mammalian nerve fibres derive from node potentials’,Biophys. J.,16, pp. 655–658.
McNeal, D. R. (1976): ‘Analysis of a model for excitation of a myelinated nerve’,IEEE Trans. Biomed. Eng.,23, pp. 329–336
McNeal, D. R., Waters, R., andReswick, J. (1977a): ‘Experience with implanted electrodes at Rancho Los Amigos Hospital’,Appl. Neurophysiol.,40, pp. 235–239
McNeal, D. R., Waters, R., andReswick, J. (1977b): ‘Experience with implanted electrodes’,Neurosurg.,1, pp. 228–229
Merletti, R., Conte, L. L., Avignone, E., andGuglielminotti, P. (1999a): ‘Modeling of surface myoelectric signals — Part I: model implementation’,IEEE Trans. Biomed. Eng.,46, pp. 810–820
Merletti, R., Roy, S. H., Kupa, E., Roatta, S., andGranata, A. (1999b): ‘Modeling of surface myoelectric signals — Part II: model-based signal interpretation’,IEEE Trans. Biomed. Eng.,46, pp. 821–829
Merletti, R. (1999): ‘Electromyography’, in ‘Encyclopedia on electronic engineering’ (John Wiley, 1999), pp. 523–540
Rahal, M., Winter, J., Taylor, J., andDonaldson, N. (1999): ‘Application of closed-loop control in the reduction of interference in nerve cuff recordings’. Proc. 6th Int. Conf. Electronics, Circuits and Systems (ICES), Paphos, Cyprus
Rahal, M., Winter, J., Taylor, J., andDonaldson, N. (2000a): ‘An improved configuration for the reduction of the EMG in electrode cuff recordings’,IEEE Trans. Biomed. Eng.,74, pp. 565–568
Rahal, M., Taylor, J., andDonaldson, N. (2000b): ‘The effect of nerve cuff geometry on interference reduction: a study by computer modelling’,IEEE Trans. Biomed. Eng.,47, pp. 136–138
Rieger, R., Taylor, J., Demosthenous, A., Donaldson, N., andLanglois, P. J. (2003): ‘Design of a low-noise preamplifier for nerve cuff electrode recording’,IEEE J. Solid-State Circuits,38, pp. 1373–1379
Rieger, R., Taylor, J., Comi, E., Donaldson, N., Russold, M., Jarvis, Mahoney, C., andMcLaughlin, J. (2004): ‘Experimental determination of compound A-P direction and propagation velocity from multi-electrode nerve cuffs’,Med. Eng. Phys.,26, pp. 531–534
Riso, R., andPflaum, C. (1996): ‘Performance of alternative amplifier configurations for tripolar nerve cuff recorded ENG’. Proc. IEEE-EMBS Ann. Meeting, Amsterdam, Oct. 31–Nov. 4, paper 896
Roberts, W. M., andHartline, D. K. (1975): ‘Separation of multiunit nerve impulse trains by a multi-channel linear filter algorithm’,Brain Res.,94, pp. 141–149
Rushton, W. A. H. (1951): ‘A theory of the effects of fibre size in medullated nerves’,J. Physiol.,115, pp. 101–122
Schmidt, R. A., Bruschini, H., andTanagho, E. A. (1978): ‘Feasibility of inducing micturition through chronic stimulation of sacral roots’,Urol.,12, pp. 471–477
Schoonhaven, R., andStegeman, D. F. (1991): ‘Models and analysis of compound nerve action potentials’,Crit. Rev. Biomed. Eng.,19, pp. 47–111
Stein, R. B., andPearson, K. G. (1971): ‘Predicted amplitude and form of action potentials recorded from unmyelinated nerve fibres’,J. Theor. Biol.,32, pp. 539–558
Strange, K. D., andHoffer, J. A. (1999): ‘Gait phase information provided by sensory nerve activity during walking: Applicability as a state controller feedback for FES’,IEEE Trans. Biomed. Eng.,46, pp. 797–810
Struijk, J. (1997): ‘The extracellular potential of a myelinated nerve fibre in an unbounded medium and in nerve cuff models’,Biophys. J.,72, pp. 2457–2469
Sweeney, J. D., Mortimer, J. T., andDurand, D. (1987): ‘Modelling of mammalian myelanated nerve for functional neuromuscular stimulation’. Proc. 9th Ann. Conf. IEEE EMBS, New York, pp. 1577–1578
Tanagho, E. A., andSchmidt, R. A. (1982): ‘Bladder pacemaker: Scientific basis and clinical future’,Urol.,20, pp. 614–619
Upshaw, B., andSinkjaer, T. (1997): ‘Natural vs. artificial sensors applied in peoroneal nerve stimulation’,J. Artif. Organs,21, pp. 227–231
Waters, R. L., McNeal, D. R., andPerry, J. (1975): ‘Experimental correction of footdrop by electrical stimulation of the peroneal nerve’,J. Bone Joint Surg.,57A, pp. 1047–1054
Waters, R. L., McNeal, D. R., Faloon, W., andClifford, B. (1985): ‘Functional electrical stimulation of the peroneal nerve for hemiplegia: Long term clinical follow-up’,J. Bone Joint Surg.,67A, pp. 792–793
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Taylor, J., Donaldson, N. & Winter, J. Multiple-electrode nerve cuffs for low-velocity and velocity-selective neural recording. Med. Biol. Eng. Comput. 42, 634–643 (2004). https://doi.org/10.1007/BF02347545
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DOI: https://doi.org/10.1007/BF02347545