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Physiological Control of Respiration

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A Programming Algorithm for Optimizing Hypoglossal Nerve Stimulator Respiratory Entrainment.

David T Kent¹, Holly A Budnick¹, Katherine K Green²

¹Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, U.S.A.

The Laryngoscope

|November 8, 2024

Summary

Hypoglossal nerve stimulation (HNS) offers a surgical solution for obstructive sleep apnea. This study introduces an algorithm to optimize HNS respiratory entrainment using office-based adjustments for better patient outcomes.

Keywords:

allergy/rhinology clinical obstructive sleep apnea sleep apnea sleep medicine surgical treatment of obstructive sleep apnea

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Area of Science:

Neuromodulation
Sleep Medicine
Biomedical Engineering

Background:

Obstructive sleep apnea (OSA) is a common sleep disorder.
Hypoglossal nerve stimulation (HNS) is an effective surgical treatment for OSA.
Current HNS devices offer respiratory entrainment settings that are underutilized.

Observation:

The most common HNS device has programming settings for respiratory entrainment.
These settings are not frequently used by clinicians.
Optimizing HNS requires adjustments based on patient's breathing patterns.

Findings:

A novel algorithm enables office-based adjustments for HNS respiratory entrainment.
This algorithm facilitates real-time sensing and optimization of stimulation parameters.
The proposed method aims to improve the efficacy of HNS therapy.

Implications:

This approach could enhance treatment effectiveness for OSA patients using HNS.
Office-based adjustments may lead to more personalized and efficient HNS therapy.
Wider utilization of respiratory entrainment can improve patient adherence and outcomes.