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Published on: July 30, 2019
Tracheal sound spectra depend on body height
1Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Canada.
Insights
Body height influences tracheal dimensions, affecting airway sound spectra. This study found a correlation between tracheal sound spectral characteristics and body length in children and adults.
Area of Science:
- Respiratory Physiology
- Acoustics
- Biophysics
Background:
- Tracheal sounds are generated by turbulent airflow in the upper and central airways.
- Airway conduit dimensions significantly influence turbulent flow characteristics.
- Tracheal dimensions are known to correlate with overall body length.
Purpose of the Study:
- To investigate the relationship between tracheal sound spectral characteristics and body length.
- To test the hypothesis that body height correlates with tracheal sound spectra.
Main Methods:
- Recorded tracheal sounds using a contact sensor at the suprasternal notch in healthy children and adults.
- Standardized airflow was maintained and measured using a pneumotachograph.
- Fast Fourier Transform (FFT) analysis was applied to extract spectral parameters like average power, quartile frequencies, and spectral edge frequency.
Main Results:
- Tracheal sound spectra were analyzed in relation to body length.
- Specific spectral parameters (Pavg, Q1-Q3, SE95, Fcut) were calculated for comparison.
- A correlation between tracheal sound spectra and body length was observed.
Conclusions:
- Tracheal sound spectral analysis offers a non-invasive method to assess airway characteristics.
- Findings suggest a link between physical stature and respiratory sound profiles.
- Further research can explore clinical applications of this correlation.
Abstract:
Tracheal sounds originate from turbulent flow in upper and central airways. Turbulent flow characteristics are influenced by conduit dimensions. Because tracheal dimensions are a function of body height, we hypothesized that there should be a correlation between sound spectra and body length. We recorded tracheal sounds at standardized airflows in 21 healthy children 9.1 +/- 0.6 yr of age (mean +/- SE) and in 24 healthy adults 30.2 +/- 0.8 yr of age. A contact sensor was attached at the suprasternal notch of the sitting subject, and airflow was measured at the mouth with a calibrated pneumotachograph. Tracheal sounds were low-pass-filtered at 2.4 kHz and digitized at 10 kHz. A 2048 point FFT was applied at a successive 100-ms intervals, using a Hanning data window. Resulting spectra were normalized to a reference power of 0.1 (mV)2/5 Hz. We applied a gating algorithm to extract sounds at inspiratory flows of 1 L/s (+/- 10% tolerance), and we computed average power spectra from the collected samples. We calculated the average spectral power (Pavg), the quartile frequencies below which 25% (Q1), 50% (Q2), and 75% (Q3) of the power in the range of 50 to 2,000 Hz was contained, the spectral edge frequency (SE95) below which 95% of the power was found, and the frequency where spectral power rolled off sharply (Fcut).(ABSTRACT TRUNCATED AT 250 WORDS)
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