Closed‐loop parameter optimization for patient‐specific phrenic nerve stimulation

Author:

Keogh Conor1ORCID,Saavedra Francisco12,Dubo Sebastian3,Aqueveque Pablo2,Ortega Paulina3,Gomez Britam2,Germany Enrique2,Pinto Daniela2,Osorio Rodrigo2,Pastene Francisco2,Poulton Adrian1,Jarvis Jonathan4,Andrews Brian1,FitzGerald James J.1

Affiliation:

1. Nuffield Department of Surgical Sciences University of Oxford Oxford UK

2. Department of Electrical Engineering Universidad de Concepcion Concepcion Chile

3. Department of Physiotherapy Universidad de Concepcion Concepcion Chile

4. School of Sports and Exercise Science Liverpool John Moores University Liverpool UK

Abstract

AbstractBackgroundVentilator‐induced diaphragm dysfunction occurs rapidly following the onset of mechanical ventilation and has significant clinical consequences. Phrenic nerve stimulation has shown promise in maintaining diaphragm function by inducing diaphragm contractions. Non‐invasive stimulation is an attractive option as it minimizes the procedural risks associated with invasive approaches. However, this method is limited by sensitivity to electrode position and inter‐individual variability in stimulation thresholds. This makes clinical application challenging due to potentially time‐consuming calibration processes to achieve reliable stimulation.MethodsWe applied non‐invasive electrical stimulation to the phrenic nerve in the neck in healthy volunteers. A closed‐loop system recorded the respiratory flow produced by stimulation and automatically adjusted the electrode position and stimulation amplitude based on the respiratory response. By iterating over electrodes, the optimal electrode was selected. A binary search method over stimulation amplitudes was then employed to determine an individualized stimulation threshold. Pulse trains above this threshold were delivered to produce diaphragm contraction.ResultsNine healthy volunteers were recruited. Mean threshold stimulation amplitude was 36.17 ± 14.34 mA (range 19.38–59.06 mA). The threshold amplitude for reliable nerve capture was moderately correlated with BMI (Pearson's r = 0.66, p = 0.049). Repeating threshold measurements within subjects demonstrated low intra‐subject variability of 2.15 ± 1.61 mA between maximum and minimum thresholds on repeated trials. Bilateral stimulation with individually optimized parameters generated reliable diaphragm contraction, resulting in significant inhaled volumes following stimulation.ConclusionWe demonstrate the feasibility of a system for automatic optimization of electrode position and stimulation parameters using a closed‐loop system. This opens the possibility of easily deployable individualized stimulation in the intensive care setting to reduce ventilator‐induced diaphragm dysfunction.

Funder

Engineering and Physical Sciences Research Council

University of Oxford

Publisher

Wiley

Subject

Biomedical Engineering,General Medicine,Biomaterials,Medicine (miscellaneous),Bioengineering

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