Abstract

Background: Clinically valid and reliable simulated inspiratory sounds were required for the development and evaluation of a new therapeutic respiratory exergame application (i.e., QUT Inspire). This smartphone application virtualises incentive spirometry, a longstanding respiratory therapy technique. Objectives: Inspiratory flows were simulated using a 3 litre calibration syringe and validated using clinical reference devices. Syringe flow nozzles of decreasing diameter were applied to model the influence of mouth shape on audible sound levels generated. Methods: A library of calibrated audio inspiratory sounds was created to determine the reliability and range of inspiratory sound detection at increasing distances separating the sound source and smartphones running the app. Results: Simulated inspiratory sounds were reliably detected by the new application at higher air inflows (high, medium), using smaller mouth diameters (<25 mm) and where smartphones were held proximal (≤5 cm) to the mouth (or at distances up to 50 cm for higher airflows). Performance was comparable for popular smartphone types and using different phone orientations (i.e., held horizontally, at 45° or 90°). Conclusions: These observations inform future application refinements, including prompts to reduce mouth diameter, increase inspiratory flow and maintain proximity to the phone to optimise sound detection. This library of calibrated inspiratory sounds offers reproducible non-human reference data suitable for development, evaluation and regression testing of a therapeutic respiratory exergame application for smartphones.

Highlights

  • At rest, normal human breaths are barely perceptible

  • This study aims to develop a library of reproducible, calibrated non-human simulated inspiratory audio samples representing a clinically valid range of inspiratory flow rates and mouth diameters, suitable for application development, testing and re-testing

  • 1200, and cc/sec were reliaat decreasing flow rates, inspiratory flow rates of 1200, 900 and 600 cc/s were reliably bly reported by this device

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Summary

Introduction

Vigorous respiration produces audible sound at the mouth by means of turbulence created at higher air flow rates and greater air pressure changes [1,2]. Designed primarily for telephony and the capture of spoken voice sounds, built-in microelectromechanical (i.e., MEMS) microphones in contemporary smartphones can be repurposed to sense changes in air pressure arising from breath sounds. Some mHealth apps infer respiratory flow rates by means of calibrated vortex whistles to produce sound of a known pitch for microphone detection, or by constraining and controlling mouth shape as a potential variable influencing the respiratory sounds generated; others may employ external microphones to improve sound detection [10,11]. Built-in microphones are available in all smartphones and offer a single, easy to use encapsulated means for sound detection

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