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Estimation of Cough Peak Flow Using Cough Sounds
Yasutaka Umayahara1,2, Zu Soh3, Kiyokazu Sekikawa4
1Department of System Cybernetics, Institute of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, Japan. umayahara-creha@umin.ac.jp.
Sensors (Basel, Switzerland)
|July 25, 2018
Summary
This study introduces a new method to assess cough strength using sound, estimating cough peak flow (CPF) from cough sound pressure. This approach offers a simpler, more accessible way to evaluate cough dysfunction.
Area of Science:
- Biomedical Engineering
- Respiratory Medicine
- Acoustics
Background:
- Cough peak flow (CPF) assesses cough dysfunction but current spirometry methods are burdensome.
- Existing devices require complex setup and tight-fitting masks, posing challenges for patients and caregivers.
Purpose of the Study:
- To develop a novel, non-invasive method for evaluating cough strength using cough sounds.
- To establish an exponential model for estimating CPF from cough peak sound pressure level (CPSL).
Main Methods:
- Investigated the relationship between cough sounds and cough flows.
- Developed an exponential model to estimate CPF from CPSL.
- Analyzed the impact of microphone distance, type, and participant demographics on estimation accuracy.
Main Results:
- The proposed exponential model accurately estimated CPF.
- Estimation accuracy was significantly higher when the microphone was within 30 cm of the mouth.
- Participant height and gender did not affect the model's estimation accuracy.
Conclusions:
- A novel method using cough sounds can accurately estimate CPF.
- This sound-based approach offers improved feasibility for measuring and assessing cough dysfunction.
- The findings suggest a potential for more accessible cough assessment tools.
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