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Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection

In the clinic, the wheezing sound is usually considered as an indicator symptom to reflect the degree of airway obstruction. The auscultation approach is the most common way to diagnose wheezing sounds, but it subjectively depends on the experience of the physician. Several previous studies attempte...

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Autores principales: Li, Shih-Hong, Lin, Bor-Shing, Tsai, Chen-Han, Yang, Cheng-Ta, Lin, Bor-Shyh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298744/
https://www.ncbi.nlm.nih.gov/pubmed/28106747
http://dx.doi.org/10.3390/s17010171
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author Li, Shih-Hong
Lin, Bor-Shing
Tsai, Chen-Han
Yang, Cheng-Ta
Lin, Bor-Shyh
author_facet Li, Shih-Hong
Lin, Bor-Shing
Tsai, Chen-Han
Yang, Cheng-Ta
Lin, Bor-Shyh
author_sort Li, Shih-Hong
collection PubMed
description In the clinic, the wheezing sound is usually considered as an indicator symptom to reflect the degree of airway obstruction. The auscultation approach is the most common way to diagnose wheezing sounds, but it subjectively depends on the experience of the physician. Several previous studies attempted to extract the features of breathing sounds to detect wheezing sounds automatically. However, there is still a lack of suitable monitoring systems for real-time wheeze detection in daily life. In this study, a wearable and wireless breathing sound monitoring system for real-time wheeze detection was proposed. Moreover, a breathing sounds analysis algorithm was designed to continuously extract and analyze the features of breathing sounds to provide the objectively quantitative information of breathing sounds to professional physicians. Here, normalized spectral integration (NSI) was also designed and applied in wheeze detection. The proposed algorithm required only short-term data of breathing sounds and lower computational complexity to perform real-time wheeze detection, and is suitable to be implemented in a commercial portable device, which contains relatively low computing power and memory. From the experimental results, the proposed system could provide good performance on wheeze detection exactly and might be a useful assisting tool for analysis of breathing sounds in clinical diagnosis.
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spelling pubmed-52987442017-02-10 Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection Li, Shih-Hong Lin, Bor-Shing Tsai, Chen-Han Yang, Cheng-Ta Lin, Bor-Shyh Sensors (Basel) Article In the clinic, the wheezing sound is usually considered as an indicator symptom to reflect the degree of airway obstruction. The auscultation approach is the most common way to diagnose wheezing sounds, but it subjectively depends on the experience of the physician. Several previous studies attempted to extract the features of breathing sounds to detect wheezing sounds automatically. However, there is still a lack of suitable monitoring systems for real-time wheeze detection in daily life. In this study, a wearable and wireless breathing sound monitoring system for real-time wheeze detection was proposed. Moreover, a breathing sounds analysis algorithm was designed to continuously extract and analyze the features of breathing sounds to provide the objectively quantitative information of breathing sounds to professional physicians. Here, normalized spectral integration (NSI) was also designed and applied in wheeze detection. The proposed algorithm required only short-term data of breathing sounds and lower computational complexity to perform real-time wheeze detection, and is suitable to be implemented in a commercial portable device, which contains relatively low computing power and memory. From the experimental results, the proposed system could provide good performance on wheeze detection exactly and might be a useful assisting tool for analysis of breathing sounds in clinical diagnosis. MDPI 2017-01-17 /pmc/articles/PMC5298744/ /pubmed/28106747 http://dx.doi.org/10.3390/s17010171 Text en © 2017 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Shih-Hong
Lin, Bor-Shing
Tsai, Chen-Han
Yang, Cheng-Ta
Lin, Bor-Shyh
Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection
title Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection
title_full Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection
title_fullStr Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection
title_full_unstemmed Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection
title_short Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection
title_sort design of wearable breathing sound monitoring system for real-time wheeze detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298744/
https://www.ncbi.nlm.nih.gov/pubmed/28106747
http://dx.doi.org/10.3390/s17010171
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