Systems and methods for producing asynchronous neural responses to treat pain and/or other patient conditions
First Claim
1. A method for automatically adjusting stimulation delivered to a patient, the method comprising:
- applying an electrical stimulation signal to a neural population of a patient to evoke a neural response generated by the neural population, wherein the electrical stimulation signal has a first parameter value;
measuring, via an implanted signal detection device, the neural response evoked by the applied electrical stimulation signal;
comparing the measured neural response to a prior level; and
after comparing the measured neural response to the prior level, automatically adjusting the first parameter value to a second parameter value based at least in part on the measured neural response.
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Abstract
Systems and methods for producing asynchronous neural responses to treat pain and/or other patient conditions are disclosed. A method in accordance with a particular embodiment includes selecting a target stimulation frequency that is above a threshold frequency, with the threshold frequency corresponding to a refractory period for neurons of a target sensory neural population. The method can further include producing a patient sensation of paresthesia by directing an electrical signal to multiple sensory neurons of the target sensory neural population at the stimulation frequency, with individual neurons of the sensory neural population completing corresponding individual refractory periods at different times, resulting in an asynchronous sensory neuron response to the electrical signal.
485 Citations
22 Claims
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1. A method for automatically adjusting stimulation delivered to a patient, the method comprising:
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applying an electrical stimulation signal to a neural population of a patient to evoke a neural response generated by the neural population, wherein the electrical stimulation signal has a first parameter value; measuring, via an implanted signal detection device, the neural response evoked by the applied electrical stimulation signal; comparing the measured neural response to a prior level; and after comparing the measured neural response to the prior level, automatically adjusting the first parameter value to a second parameter value based at least in part on the measured neural response. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A system for applying neural stimulation to a patient, the system comprising:
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an implantable pulse generator configured to generate an electrical stimulation signal having at least a first parameter value; an electrode array having one or more electrodes coupleable to the pulse generator; and a sensor coupleable to the pulse generator and configured to be positioned proximate an anatomical feature of the patient, wherein the pulse generator includes a machine-readable medium having instructions that, when executed, cause the pulse generator to— deliver the electrical stimulation signal to a neural population of the patient via the one or more electrodes; sense, via the sensor, a neural response generated by the neural population in response to the delivered electrical stimulation signal; determine a feedback value based on the sensed neural response generated by the neural population; and based on the determined feedback value, automatically adjust the first parameter value of the electrical stimulation signal to a second parameter value different than the first parameter value. - View Dependent Claims (13, 14, 15, 16, 17, 18)
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19. A method for delivering closed loop neuromodulation, the method comprising:
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applying an electrical stimulation signal, having a first parameter value, to a neural population to evoke a neural response; directly measuring, via an implanted sensor, the neural response evoked by the applied electrical stimulation signal; comparing the measured neural response to a baseline level; after comparing the measured neural response, adjusting the first parameter value to a second parameter value based at least in part on the measured neural response, wherein the first parameter value differs from the second parameter value; and iteratively performing the operations of applying, measuring, comparing, and adjusting until a target neural response is measured. - View Dependent Claims (20, 21, 22)
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Specification