Abstract

Background: The need for reliable respiratory monitoring has increased in recent years with the frequent use of opioids for perioperative pain management as well as a high prevalence of patients suffering from respiratory comorbidities. Objective: Motivated by the success of acoustical color spectrographic techniques in other knowledge domains, we sought to build proof-of-concept systems for the computer-based color spectrographic analysis of respiratory sounds, recorded from various sites. Methods: We used a USB miniature electret microphone and a Windows-based color spectrographic analysis package to obtain color spectrograms for breath sound recordings from the neck, from an oxygen mask, from the ear canal, and from a leak-free microphone pneumatically connected to the cuff of a laryngeal mask airway. Results: Potentially useful color spectrographic displays were obtained from all four recording sites, although the spectrograms obtained varied in their characteristics. It was also found that obtaining high-quality color spectrograms requires attention to a number of technical details. Conclusion: Color spectrographic analysis of respiratory sounds is a promising future technology for respiratory monitoring.

Highlights

  • The need for reliable respiratory monitoring has existed since antiquity, but this need has become especially pressing in recent years with the frequent use of opioids for perioperative pain management and an increased prevalence of patients suffering from respiratory comorbidities, such as sleep apnea [1 - 5]

  • One possible technology for continuous respiratory monitoring, that has interested the author for some time, is the use of color spectrographic analysis of respiratory sounds

  • A color spectrogram is a plot of the frequency components of a signal against time, with the signal intensity encoded as a color

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Summary

Introduction

The need for reliable respiratory monitoring has existed since antiquity, but this need has become especially pressing in recent years with the frequent use of opioids for perioperative pain management and an increased prevalence of patients suffering from respiratory comorbidities, such as sleep apnea [1 - 5]. Given this crucial need, efforts at developing a simple, dependable method of continuous respiratory monitoring have been ongoing for a great many decades. The need for reliable respiratory monitoring has increased in recent years with the frequent use of opioids for perioperative pain management as well as a high prevalence of patients suffering from respiratory comorbidities

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Results
Conclusion

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