Neural stimulation system providing auto adjustment of stimulus output as a function of sensed impedance

• US 9,089,706 B2
• Filed: 06/16/2014
• Issued: 07/28/2015
• Est. Priority Date: 02/12/2002
• Status: Active Grant

• Current Assignee: Boston Scientific Neuromodulation Corporation (Boston Scientific Corporation)
• Original Assignee: Boston Scientific Neuromodulation Corporation (Boston Scientific Corporation)
• Inventors: King, John D. H., Thacker, James R.
• Primary Examiner(s): Layno, Carl H
• Assistant Examiner(s): GHAND, JENNIFER LEIGH-STEWAR
• Application Number:
  US14/306,131
• Publication Number:
  US 20140296941A1
• Time in Patent Office: 407 Days
• Field of Search: 607/42, 607/62
• US Class Current: 1/1
• CPC Class Codes: A61N 1/36071 Pain
• CPC Class Codes: A61N 1/36139 with automatic adjustment
• CPC Class Codes: A61N 1/3615 Intensity

Abstract

A neural stimulation system automatically corrects or adjusts the stimulus magnitude (stimulation energy) in order to maintain a comfortable and effective stimulation therapy. Because the changes in impedance associated with the electrode-tissue interface can indicate obstruction of current flow and positional lead displacement, lead impedance can indicate the quantity of electrical stimulation energy that should be delivered to the target neural tissue to provide corrective adjustment. Hence, a change in impedance or morphology of an impedance curve may be used in a feedback loop to indicate that the stimulation energy needs to be adjusted and the system can effectively auto correct the magnitude of stimulation energy to maintain a desired therapeutic effect.

Claims

1. A method for controlling a neurostimulation system, comprising:

applying electrical stimulation energy to neural tissue of a patient via at least one electrode of the neurostimulation system in accordance with a stimulation parameter;

measuring at least two samples of an electrical parameter over time;

computing a change in the electrical parameter by comparing the at least two samples, wherein the change in the electrical parameter is indicative of a coupling efficiency between the at least one electrode and the neural tissue;

analyzing a lookup table that stores electrical parameter changes correlated to stimulation parameter values;

determining a stimulation parameter value correlated to the computed electrical. parameter change based on the analysis of the look-up table; and

automatically adjusting the value of the stimulation parameter in accordance with which the electrical stimulation energy is applied to the determined stimulation parameter value without human intervention.

2. The method of claim 1, wherein automatically adjusting the value of the stimulation parameter includes changing at least one of an amplitude, pulse width, and frequency of the stimulation energy.

3. The method of claim 1, wherein the neural tissue is spinal cord tissue.

4. The method of claim 1, wherein the computed electrical parameter change indicates a decrease in coupling efficiency between the at least one electrode and the neural tissue, and wherein automatically adjusting the value of the stimulation parameter includes increasing the amplitude of the stimulation energy.

5. The method of claim 1, wherein the computed electrical parameter change indicates an increase in coupling efficiency between the at least one electrode and the neural tissue, and wherein automatically adjusting the value of the stimulation parameter includes decreasing the amplitude of the stimulation energy.

6. The method of claim 1, wherein the electrical parameter change results from one of a build up of scar tissue on the at least one electrode, a change in position of the at least one electrode relative to the patient, and a change in the patient'"'"'s posture.

7. The method of claim 1, further comprising correlating electrical parameter changes to stimulation parameter values by having the patient make positional movements to induce changes in the electrical parameter and recording the electrical parameter values in the look-up table as a function of the positional movements.

8. The method of claim 1, wherein the at least two samples of the electrical parameter are measured over time in response to the applied electrical stimulation energy.

9. The method of claim 1, further comprising applying an electrical signal in addition to the applied electrical stimulation energy, wherein the at least two samples of the electrical parameter are measured over time in response to the applied electrical signal.

10. The method of claim 1, wherein applying the electrical stimulation energy comprises outputting a constant electrical current.

11. The method of claim 1, wherein the electrical parameter is an impedance.

12. The method of claim 1, wherein the value of the stimulation parameter is automatically adjusted in a manner that compensates for the variations in the coupling efficiency, thereby maintaining an optimal level of therapy.

13. A neurostimulation system, comprising:

at least one electrode configured for being positioned in electrical communication with neural tissue of a patient when implanted;

an implantable pulse generator configured for applying stimulation energy to the neural tissue via the at least one electrode in accordance with a stimulation parameter;

a detector configured for measuring at least two samples of an electrical parameter over time;

memory configured for storing a look-up table that stores electrical parameter changes correlated to stimulation parameter values; and

a processor configured for computing a change in the electrical parameter by comparing the at least two samples, wherein the change in the electrical parameter is indicative of a coupling efficiency between the at least one electrode and the neural tissue, determining a stimulation parameter value correlated to the computed electrical parameter change based on the analysis of the look-up table, and automatically adjusting the value of the stimulation parameter in accordance with which the electrical stimulation energy is applied to the determined stimulation parameter value without human intervention.

14. The neurostimulation system of claim 13, wherein processor is configured for automatically adjusting the value of the stimulation parameter by changing at least one of an amplitude, pulse width, and frequency of the stimulation energy.

15. The neurostimulation system of claim 13, wherein the computed electrical parameter change indicates a decrease in coupling efficiency between the at least one electrode and the neural tissue, and the processor is configured for automatically adjusting the value of the stimulation parameter by increasing the amplitude of the stimulation energy.

16. The neurostimulation system of claim 13, wherein the computed electrical parameter change indicates an increase in coupling efficiency between the at least one electrode and the neural tissue, and the processor is configured for automatically adjusting the value of the stimulation parameter by decreasing the amplitude of the stimulation energy.

17. The neurostimulation system of claim 13, wherein the detector is configured for measuring the at least two samples of the electrical parameter over time in response to the applied electrical stimulation energy.

18. The neurostimulation system of claim 13, wherein the implantable pulse generator is configured for applying an electrical signal in addition to the applied electrical stimulation energy, and wherein the detector is configured for measuring the at least two samples of the electrical parameter over time in response to the applied electrical signal.