System and method for peripheral nerve stimulation
View Patent ↗Obstructive sleep apnea from blockage of the upper airway can result in significant daytime drowsiness, with many long-term co-morbidities associated with this disorder such as such as hypertension. A common cause of obstructive sleep apnea is the complete concentric collapse of the soft pallet or retrusion of the genioglossus muscle into the upper airway obstructing breathing. The latter can be due to exhaustion of the muscle due to heightened activation during wake periods, or a greater number of type II muscle fibers can contribute to muscle fatigue. It could also be neurological, whereby the hypoglossal nerve which controls most the upper airway muscles fails to innervate the genioglossus sufficiently to prevent backward movement and pharyngeal block. Described herein is an intelligent personalized closed loop neuromodulation system and methods to prevent backwards movement of the genioglossus muscle through stimulation of certain branches of the hypoglossal nerve and muscle motor points, by using muscle feedback from electromyogram sensors to provide optimal stimulus. Alternative embodiments to treat neuropathic pain and urinary dysfunction are enclosed.
1. A system for treating obstructive apnea, the system comprising:
an array of multiple electrodes;
a memory that can store computer executable instructions; and a processor that is configured to facilitate execution of the executable instructions stored in the memory, wherein the instructions cause the processor to:
receive electromyogram (EMG) signals from the array of multiple electrodes-disposed upon a submental region of an individual; filter the EMG signals to generate a signal envelope; measure genioglossus muscle activity from the signal envelope to determine optimal sensing electrodes; pulse each optimal sensing electrode and measure a response on the optimal sensing electrodes to determine optimal stimulation electrodes; determine inspiratory and expiratory respiratory phases from the signal envelope; deliver a stimulation to hypoglossal nerve via the optimal stimulation electrodes at a beginning of the inspiratory respiratory phases, and confirm from the optimal sensing electrodes that the stimulation is effective in moving the genioglossus muscle.
2. The system of claim 1 , wherein the determining the optimal sensing electrodes further comprises performing maneuvers to activate the genioglossus muscle and locate electrodes with best response.
3. The system of claim 1 , wherein the instructions further provide a continual closed loop feedback from EMG waveforms from the optimal sensing electrodes to confirm that the optimal stimulation electrodes are stimulating the genioglossus muscle.
4. The system of claim 3 , wherein optimal stimulation electrodes can be updated to a new pair of electrodes.
5. The system of claim 3 , wherein the optimal sensing electrodes can be updated to a new pair of electrodes.
6. The system of claim 3 , wherein the closed loop feedback is exited to a safe setting when predefined thresholds are exceeded.
7. The system of claim 1 , wherein the stimulation has an amplitude and frequency and the frequency is adjusted based on perceived sensation by the individual.
8. The system of claim 1 , wherein the instructions further comprise measuring a M-wave and/or H-reflex response on the optimal sensing electrodes and adjusting the stimulation based on the M-wave and/or H-reflex response.
9. The system of claim 1 , wherein the beginning of the inspiratory respiratory phases is predicted based on a previous cycle time and an average respiratory rate.
10. The system of claim 1 wherein sleep is detected by measuring the variation in respiratory frequency and tidal volume.
11. The system of claim 1 wherein sleep apnea events are predicted based on changes of the EMG signals during inspiration.
12. A method of treating obstructive apnea, the method comprising:
providing an array of multiple electrodes;
receiving electromyogram (EMG) signals from the array of multiple electrodes disposed upon a submental region of an individual;
filtering the EMG signals to generate a signal envelope;
measuring genioglossus muscle activity from the signal envelope to determine optimal sensing electrodes;
pulsing each optimal sensing electrode and measuring a response on the optimal sensing electrodes to determine optimal stimulation electrodes;
determining inspiratory and expiratory respiratory phases from the signal envelope;
delivering a stimulation to hypoglossal nerve via the optimal stimulation electrodes at a beginning of the inspiratory respiratory phases; and
confirming from the optimal sensing electrodes that the stimulation is effective in moving the genioglossus muscle.
13. The method of claim 12 , wherein the step of determining the optimal sensing electrodes further comprises performing maneuvers to activate the genioglossus muscle and locate electrodes with best response.
14. The method of claim 12 , further comprises providing a continual closed loop feedback from EMG waveforms from the optimal sensing electrodes to confirm that the optimal stimulation electrodes are stimulating the genioglossus muscle.
15. The method of claim 14 , further comprises updating the optimal stimulation electrodes to a new pair of electrodes.
16. The method of claim 14 , further comprises updating the optimal sensing electrodes to a new pair of electrodes.
17. The method of claim 14 , further comprises exiting the closed loop feedback to a safe setting when predefined thresholds are exceeded.
18. The method of claim 12 , wherein the stimulation has an amplitude and frequency and the method further comprises adjusting the frequency based on perceived sensation by the individual.
19. The method of claim 12 further comprises measuring a M-wave and/or H-reflex response on the optimal sensing electrodes and adjusting the stimulation based on the M-wave and/or H-reflex response.
20. The method of claim 12 , wherein the beginning of the inspiratory respiratory phases is predicted based on a previous cycle time and an average respiratory rate.
21. The method of claim 12 , further comprises detecting sleep by measuring the variation in respiratory frequency and tidal volume.
22. The method of claim 12 , further comprises predicting future sleep apnea events based on changes of the EMG signals during inspiration.