Color Spectrographic Analysis of Respiratory Sounds: A Promising Technology for Respiratory Monitoring
Daniel J. Doyle1, *
Identifiers and Pagination:Year: 2020
First Page: 22
Last Page: 29
Publisher Id: TOATJ-14-22
Article History:Received Date: 19/01/2020
Revision Received Date: 15/04/2020
Acceptance Date: 25/04/2020
Electronic publication date: 15/06/2020
Collection year: 2020
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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.
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.
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.
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.
Color spectrographic analysis of respiratory sounds is a promising future technology for respiratory monitoring.