US2011071591A1PendingUtilityA1

Obstructive Sleep Apnea Treatment Devices, Systems and Methods

Assignee: APNEX MEDICAL INCPriority: Oct 13, 2006Filed: Jul 14, 2010Published: Mar 24, 2011
Est. expiryOct 13, 2026(~0.2 yrs left)· nominal 20-yr term from priority
A61N 1/0556A61N 1/3606A61N 1/0558A61N 1/3601A61B 5/7239A61B 5/4818A61N 1/37229A61B 5/086
51
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Claims

Abstract

Devices, systems and methods for nerve stimulation for OSA therapy.

Claims

exact text as granted — not AI-modified
1 - 74 . (canceled) 
     
     
         75 . A method of stimulating a hypoglossal nerve, comprising:
 chronically implanting a nerve cuff electrode on a portion of the hypoglossal nerve;   sensing a signal corresponding to respiration;   predicting inspiratory onset from the sensed signal; and   delivering a stimulus to the portion of the hypoglossal nerve via the nerve cuff electrode, wherein the stimulus is delivered as a function of the predicted inspiratory onset.   
     
     
         76 . A method as in  claim 75 , wherein the sensed signal is a bio-impedance signal. 
     
     
         77 . A method as in  claim 75 , wherein inspiratory onset is predicted based on historical respiratory data. 
     
     
         78 . A method as in  claim 75 , wherein inspiratory onset is predicted for a future respiratory cycle using respiratory data from a previous respiratory cycle and a current respiratory cycle. 
     
     
         79 . A method as in  claim 75 , wherein the method further comprises processing the sensed signal to remove one of cardiac and motion artifacts. 
     
     
         80 . A method as in  claim 78 , wherein respiratory data from the previous and the current respiratory cycles are weighted differently. 
     
     
         81 . A method as in  claim 78 , wherein respiratory data from the current respiratory cycle is weighted negatively relative to data from the previous respiratory cycle. 
     
     
         82 . A method as in  claim 75 , wherein inspiratory onset is predicted based on expiratory onset. 
     
     
         83 . A method as in  claim 75 , wherein the portion of the hypoglossal nerve corresponds to a portion innervating a genioglossus muscle of the patient. 
     
     
         84 . A method as in  claim 75 , wherein the nerve cuff electrode includes an electrode contact arrangement configured for selectively activating only one of the superior, inferior, lateral, and medial fascicles of the hypoglossal nerve. 
     
     
         85 . A method as in  claim 75 , wherein the stimulus is delivered approximately 300 ms before the predicted inspiratory onset. 
     
     
         86 . A device for stimulating a hypoglossal nerve, comprising:
 a neurostimulator for generating an electrical stimulus signal;   a lead connected to the neurostimulator, the lead having a nerve cuff electrode for delivering the electrical stimulus to a portion of the hypoglossal nerve; and   an algorithm contained in the neurostimulator that triggers stimulation delivery as a function of predicted inspiratory onset, wherein the prediction of inspiratory onset is based on a sensed respiratory signal.   
     
     
         87 . A device as in  claim 86 , wherein the sensed respiratory signal is bio-impedance. 
     
     
         88 . A device as in  claim 87 , further comprising a sensor for sensing bio-impedance. 
     
     
         89 . A device as in  claim 86 , wherein the algorithm predicts inspiratory onset based on historical respiratory data. 
     
     
         90 . A device as in  claim 86 , wherein the algorithm predicts inspiratory onset for a future respiratory cycle using respiratory data from previous and current respiratory cycles. 
     
     
         91 . A device as in  claim 86 , wherein the algorithm is configured to process the sensed respiratory signal to remove one of cardiac and motion artifacts. 
     
     
         92 . A device as in  claim 90 , wherein the algorithm applies differing weights to the data from the previous and current respiratory cycles. 
     
     
         93 . A device as in  claim 90 , wherein the algorithm applies a negative weight to data from the current respiratory cycle relative to data from the previous respiratory cycle. 
     
     
         94 . A device as in  claim 86 , wherein the algorithm predicts inspiratory onset based on expiratory onset.

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