Research Ideas and Outcomes : Research Poster
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Corresponding author: Andrey Vyshedskiy (vysha@bu.edu)
Received: 11 May 2016 | Published: 11 May 2016
© 2016 Andrey Vyshedskiy, Raymond Murphy.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation: Vyshedskiy A, Murphy R (2016) Acoustic biomarkers of Chronic Obstructive Lung Disease. Research Ideas and Outcomes 2: e9173. doi: 10.3897/rio.2.e9173
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Computerized lung sound analysis offers the promise of providing information that can help in noninvasive diagnosis and monitoring of cardiopulmonary disorders. The goal of this study was to determine whether differences existed in the computerized sounds of patients with Chronic Obstructive Pulmonary Disease (COPD) that distinguished them from age-matched controls.
We used a multichannel lung sound analyzer that provides acoustic data from multiple sites on the chest wall to study 90 patients diagnosed by their physicians as having COPD. Their findings were compared to 90 age matched controls who presented themselves to an internist for their annual physical examination. We calculated over 100 parameters for each subject. Eleven parameters of these parameters were statistically different between COPD and control patients: Inspiratory and expiratory crackle rate as well as inspiratory and expiratory wheeze/rhonchi rate was greater in COPD. Ratio of the duration of inspiration to the duration of expiration was smaller in COPD. Ratio of peak inspiratory amplitude to peak expiratory amplitude was smaller in COPD. Ratio of low frequency inspiratory energy to high frequency inspiratory energy was increased in COPD. Lead - the difference in timing between the start of inspiration at the trachea and the start of inspiration at each chest wall site, and lag - the difference in timing between the end of inspiration at the trachea and the end of inspiration at each chest wall site as well as lead and lag time-integrated amplitude was increased in COPD.
This study showed that measurable differences exist between the lung sound patterns of Chronic Obstructive Pulmonary Disease patients as compared to age-matched controls.
STG16, lung sounds, multichannel lung sound, COPD
The goal of this study was to determine lung sounds-derived biomarkers that distinguished Chronic Obstructive Pulmonary Disease patients from age-matched controls. We quantified time and frequency based acoustic parameters using multiple microphones placed on the chest surface.
We used a multichannel lung sound analyzer to study 90 patients diagnosed by their physicians as having Chronic Obstructive Pulmonary Disease. The acoustic findings in these patients were compared to those in 90 age matched controls who presented to an internist for an annual physical examination. We calculated over 100 parameters for each subject. Eleven parameters were statistically different between COPD and control patients:
The eleven parameters are further explained in
Biomarkers 2 and 3: Lead and Lag
Biomarkers 4 and 5: Lead and Lag time-integrated amplitude
Biomarker 6: Ratio of low frequency to high freq. energy
Eleven parameters were statistically different between COPD and control patients (
Summary of the Automated Acoustical Data Analysis
Correlation with clinical data |
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Biomarkers |
Control |
COPD |
p-value |
GOLD stage |
Smoking Index |
Age |
Gender |
|
1 |
Ratio of the duration of inspiration to the duration of expiration (%) |
85±16 |
70±17 |
<0.0001 |
0.40 |
0.31 |
0 |
0.15 |
2 |
Lead (% of inspiration duration) |
4±5 |
14±13 |
<0.0001 |
0.43 |
0.33 |
-0.08 |
0 |
3 |
Lag (% of inspiration duration) |
13±12 |
28±25 |
<0.0001 |
0.43 |
0.34 |
0.04 |
0.16 |
4 |
Lead time-integrated amplitude (a.u.) |
51±70 |
249±360 |
<0.0001 |
0.39 |
0.26 |
0.03 |
0.01 |
5 |
Lag time-integrated amplitude (a.u.) |
236±304 |
535±1055 |
<0.01 |
0.27 |
0.21 |
0.02 |
0 |
6 |
Maximum ratio of low frequency energy to high frequency energy |
1.2±1.3 |
2.9±3.7 |
<0.0001 |
0.46 |
0.44 |
0.03 |
0.10 |
7 |
Inspiratory crackle rate |
0.6±0.5 |
4.9±6.5 |
<0.0001 |
0.29 |
0.30 |
0.08 |
0.03 |
8 |
Expiratory crackle rate |
0.5±0.5 |
1.9±2.1 |
<0.0001 |
0.29 |
0.26 |
0.11 |
-0.14 |
9 |
Inspiratory wheeze and rhonchi rate |
0.1±0.5 |
1.3±3.4 |
<0.0001 |
0.14 |
0.13 |
0.03 |
0.02 |
10 |
Expiratory wheeze and rhonchi rate |
0.0±0.2 |
2.3±4.3 |
<0.0001 |
0.28 |
0.27 |
-0.02 |
-0.02 |
11 |
Ratio of peak inspiratory amplitude to peak expiratory amplitude |
4.8±3.3 |
3.1±2.9 |
<0.0001 |
-0.23 |
-0.25 |
-0.15 |
-0.23 |
This study showed that measurable differences exist between the lung sound patterns of Chronic Obstructive Pulmonary Disease patients as compared to age-matched controls.
American Thoracic Society, 2012