Optimizing neuromodulation stimulation parameters using blood parameter sensing
US-12070604-B2 · Aug 27, 2024 · US
US9878160B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9878160-B2 |
| Application number | US-201615246315-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 24, 2016 |
| Priority date | Apr 5, 2000 |
| Publication date | Jan 30, 2018 |
| Grant date | Jan 30, 2018 |
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An implantable neurostimulator system adapted to provide therapy for various neurological disorders is capable of varying therapy delivery strategies based on the context, physiological or otherwise, into which the therapy is to be delivered. Responsive and scheduled therapies can be varied depending on various sensor measurements, calculations, inferences, and device states (including elapsed times and times of day) to deliver an appropriate course of therapy under the circumstances.
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What is claimed is: 1. An implantable neurostimulator for treating a neurological disorder in a patient, the implantable neurostimulator comprising: a detection subsystem configured to: sense an electrographic signal of the patient, and detect a neurological event in the electrographic signal through one or more of a plurality of detection channels; a processor configured to: identify which one, if any, of the plurality of detection channels detected a neurological event, and select a therapy from a plurality of possible therapies deliverable to the patient through the implantable neurostimulator, the therapy selected based on a parameter representative of a characteristic of the electrographic signal derived by the identified detection channel, and at least one of a time of detection of the neurological event and a time since a last delivery of a therapy to the patient; and a therapy subsystem configured to deliver the selected therapy to the patient. 2. The implantable neurostimulator of claim 1 , wherein the characteristic of the electrographic signal derived by the identified detection channel comprises one or more of: a measurement of density of half waves in the electrographic signal, a measure of frequency content of the electrographic signal, a measure of frequency variability of the electrographic signal, a measure of amplitude variation of the electrographic signal, and a measure of waveform energy of the electrographic signal. 3. The implantable neurostimulator of claim 2 , wherein: the detection subsystem is further configured to store data corresponding to the characteristic of the electrographic signal in a data storage area of the implantable neurostimulator; and the processor is configured to select a therapy by being further configured to obtain the data corresponding to the electrographic signal from the data storage area. 4. The implantable neurostimulator of claim 1 , wherein the processor is configured to select a therapy by being further configured to: transform the parameter into a numeric quantity; and select the therapy based on the numeric quantity. 5. The implantable neurostimulator of claim 1 , wherein selection of a therapy is based on one or more of a trend of the parameter over time, and a historical pattern of the parameter. 6. The implantable neurostimulator of claim 1 , wherein selection of a therapy is further based on at least one second parameter of the patient comprising an EMG measurement, a blood pressure measurement, a blood flow measurement, a blood oxygenation measurement, a drug concentration measurement, a neurotransmitter concentration measurement, an orientation measurement, and a sleep state indication. 7. The implantable neurostimulator of claim 1 , wherein the selected therapy comprises electrical stimulation. 8. The implantable neurostimulator of claim 7 , wherein: the one of the plurality of detection channels comprises a plurality of electrodes, and the therapy subsystem is configured to deliver the selected therapy to the patient by being further configured to apply electrical stimulation through the plurality of electrodes. 9. The implantable neurostimulator of claim 1 , further comprising a stimulation timing channel corresponding to one of the plurality of detection channels and configured to derive stimulation timing, wherein the processor is further configured to deliver the selected therapy based on the derived stimulation timing. 10. The implantable neurostimulator of claim 9 , wherein the stimulation timing channel is different from the identified detection channel. 11. A method of treating a neurological disorder in a patient through an implantable neurostimulator, the method comprising: sensing an electrographic signal of the patient; detecting a neurological event in the electrographic signal through one or more of a plurality of detection channels of the implantable neurostimulator; identifying which one, if any, of the plurality of detection channels detected a neurological event; selecting a therapy from a plurality of possible therapies deliverable to the patient through the implantable neurostimulator, the therapy selected based on a parameter representative of a characteristic of the electrographic signal derived by the identified detection channel, and at least one of a time of detection of the neurological event and a time since a last delivery of a therapy to the patient; and delivering the selected therapy to the patient. 12. The method of claim 11 , wherein the characteristic of the electrographic signal derived by the identified detection channel comprises one or more of: a measurement of density of half waves in the electrographic signal, a measure of frequency content of the electrographic signal, a measure of frequency variability of the electrographic signal, a measure of amplitude variation of the electrographic signal, and a measure of waveform energy of the electrographic signal. 13. The method of claim 12 , further comprising storing data corresponding to the characteristic of the electrographic signal in a data storage area of the implantable neurostimulator, and wherein selecting a therapy comprises obtaining data corresponding to the electrographic signal from the data storage area. 14. The method of claim 11 , wherein selecting a therapy further comprises: transforming the parameter into a numeric quantity; and selecting the therapy based on the numeric quantity. 15. The method of claim 11 , wherein selection of a therapy is based on one or more of a trend of the parameter over time, and a historical pattern of the parameter. 16. The method of claim 11 , wherein selection of a therapy is further based on at least one second parameter of the patient comprising an EMG measurement, a blood pressure measurement, a blood flow measurement, a blood oxygenation measurement, a drug concentration measurement, a neurotransmitter concentration measurement, an orientation measurement, and a sleep state indication. 17. The method of claim 11 , wherein the selected therapy comprises electrical stimulation. 18. The method of claim 17 , wherein the one of the plurality of detection channels comprises a plurality of electrodes, and delivering the selected therapy to the patient comprises applying electrical stimulation through the plurality of electrodes. 19. The method of claim 11 , further comprising deriving stimulation timing through a stimulation timing channel corresponding to one of the plurality of detection channels, wherein the selected therapy is delivered to the patient based on the derived stimulation timing. 20. The method of claim 19 , wherein the stimulation timing channel is different from the identified detection channel.
using physiological parameters · CPC title
with automatic adjustment · CPC title
Inducing or controlling sleep or relaxation (non-implantable stimulator A61M21/00) · CPC title
Movement disorders, e.g. tremor or Parkinson disease (stimulating motor muscle A61N1/36003) · CPC title
Epilepsy · CPC title
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