Electrode to nerve distance estimation
Estimating a nerve-to-electrode distance involves applying a stimulus from a stimulus electrode to a nerve. Neural measurements of at least one evoked compound action potential are obtained, and processed in order to estimate an originating state of stimulation exhibiting at least one characteristic defined by a single fibre size. A single fibre model is then applied to produce a measure of the nerve-to-electrode distance. Also provided for is estimation of a distribution of recruited fibres. Measurements of a compound action potential are obtained from sense electrodes spaced apart along a neural pathway. A conduction velocity of the compound action potential is determined from the latency between the measurements. From the conduction velocity a dominant recruited fibre diameter is determined. A rate of dispersion of the compound action potential between the sense electrodes is determined. From the rate of dispersion a distribution of diameters of the recruited fibre population is determined.
1. A method of estimating adistribution of fibres recruited by astimulus, the method comprising:
applying a stimulus via a stimulus electrode;
obtaining from at least two sense electrodes spaced apart along a neural pathway respective measurements of a compound action potential propagating along the neural pathway, wherein the compound action potential is an evoked compound action potential (ECAP) of the fibres recruited by the stimulus;
determining a conduction velocity of the compound action potential from the latency between the measurements, and determining from the conduction velocity a dominant recruited fibre diameter;
determining a rate of dispersion of the compound action potential between the sense electrodes, and determining from the rate of dispersion adistribution of diameters of the recruited fibre population.
2. The method of claim 1 , further comprising determining the rate of dispersion from any one or more of: the observed ECAP peak width, the ECAP peak spacing, the ECAP zero crossings, the ECAP half-height peak width, and the ECAP spectral content.
3. The method of claim 1 , further comprising treating a neurological condition by administering or modifying a therapy in a manner responsive to the determined distribution of diameters of the recruited fibre population.
4. The method of claim 1 , further comprising treating a neurological condition by administering or modifying a therapy in a manner responsive to a change in the determined distribution over time.
5. A device for estimating adistribution of fibres recruited by astimulus, the device comprising
at least one stimulus electrode and at least two sense electrodes, configuredto be spaced apart along a neural pathway;
measurement circuitry for obtaining a neural measurement from each sense electrode; and
a processor configured to apply a stimulus via the stimulus electrode, obtain from the at least two sense electrodes respective measurements of acompound action potential propagating along the neural pathway, wherein the compound action potential is an evoked compound action potential (ECAP) of the fibres recruited by the stimulus, determine a conduction velocity of the compound action potential from a latency between the measurements, determine from the conduction velocity a dominant recruited fibre diameter, determine a rate of dispersion of the compound action potential between the sense electrodes, and determine from the rate of dispersion a distribution of diameters of the recruited fibre population.
6. The device of claim 5 , wherein the processor is configured to determine the rate of dispersion from any one or more of: the observed ECAP peak width, the ECAP peak spacing, the ECAP zero crossings, the ECAP half-height peak width, and the ECAP spectral content.
7. The device of claim 5 , wherein the processor is further configured to treat a neurological condition by administering or modifying a therapy in a manner responsive to the determined distribution of diameters of the recruited fibre population.
8. The device of claim 5 , wherein the processor is further configured to treat a neurological condition by administering or modifying a therapy in a manner responsive to a change in the determined distribution over time.
9. A non-transitory computer readable medium for estimating a distribution of fibres recruited by a stimulus, comprising instructions which, when executed by one or more processors, causes performance of the following:
applying a stimulus via a stimulus electrode;
obtaining from at least two sense electrodes spaced apart along a neural pathway respective measurements of a compound action potential propagating along the neural pathway, wherein the compound action potential is an evoked compound action potential (ECAP) of the fibres recruited by the stimulus;
determining a conduction velocity of the compound action potential from a latency between the measurements, and determining from the conduction velocity a dominant recruited fibre diameter;
determining a rate of dispersion of the compound action potential between the sense electrodes, and determining from the rate of dispersion a distribution of diameters of the recruited fibre population.
10. The non-transitory computer readable medium of claim 9 , further comprising instructions which, when executed by one or more processors, cause determining the rate of dispersion from any one or more of: the observed ECAP peak width, the ECAP peak spacing, the ECAP zero crossings, the ECAP half-height peak width, and the ECAP spectral content.
11. The non-transitory computer readable medium of claim 9 , further comprising instructions which, when executed by one or more processors, cause treating a neurological condition by administering or modifying a therapy in a manner responsive to the determined distribution of diameters of the recruited fibre population.
12. The non-transitory computer readable medium of claim 9 , further comprising instructions which, when executed by one or more processors, cause treating a neurological condition by administering or modifying a therapy in a manner responsive to a change in the determined distribution over time.