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Related Concept Videos

Pulmonary Function Tests01:25

Pulmonary Function Tests

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Pulmonary Function Tests (PFTs)
Pulmonary Function Tests are crucial diagnostic tools for assessing respiratory function, particularly in patients with chronic respiratory disorders. They comprehensively evaluate lung volumes, ventilatory function, breathing mechanics, diffusion, and gas exchange. These tests help diagnose pulmonary diseases and play a significant role in monitoring disease progression, evaluating disability, and assessing response to therapy.
PFTs involve using a spirometer, a...
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Assessment of Respiration01:23

Assessment of Respiration

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The respiratory system's basic structures and primary functions lay the foundation for nurses' comprehensive respiratory assessments. This assessment includes subjective and objective data to gauge the patient's respiratory health.
Subjective Assessment: Nurses interview the patient to gather information directly during the subjective assessment. It includes questions about the individual's medical history, medications, and symptoms, focusing on past respiratory conditions like...
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Physical Assessment of the Respiratory Tract IV: Auscultation01:28

Physical Assessment of the Respiratory Tract IV: Auscultation

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Auscultation is a crucial component of the physical assessment of the respiratory tract. It offers valuable insights into airflow through the bronchial tree and potential lung obstructions. This process involves careful listening to breath, voice, and adventitious sounds, which can reveal a wealth of information about a patient's respiratory health.
Breath Sounds
Breath sounds are categorized into vesicular, bronchovesicular, and bronchial.
580
Respiratory System Abnormal Finding II: Palpation and Auscultation01:31

Respiratory System Abnormal Finding II: Palpation and Auscultation

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In assessing respiratory abnormalities, palpation and auscultation are critical tools for detecting and interpreting various pathophysiological changes. These techniques provide insight into underlying disorders by evaluating tactile sensations and sounds produced by the respiratory system.
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Physical Assessment of the Respiratory Tract III: Percussion01:29

Physical Assessment of the Respiratory Tract III: Percussion

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The respiratory system, fundamental to life, consists of complex structures responsible for gas exchange. The percussion assessment is critical to understanding this system's health and functionality. This non-invasive assessment technique allows healthcare providers to evaluate the density or aeration of the lungs, thereby identifying potential abnormalities.
Percussion in Respiratory Assessment
Percussion evaluates underlying tissue composition with audible and tactile vibrations,...
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Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies01:27

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

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Assessing and diagnosing Chronic Obstructive Pulmonary Disease (COPD) involves a detailed approach that includes a comprehensive review of medical history, physical examination, and a variety of diagnostic tests. This thorough evaluation is essential to ensure an accurate diagnosis and guide effective management strategies.
Medical History
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Updated: Aug 21, 2025

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

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Published on: July 22, 2025

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A forced cough sound based pulmonary function assessment method by using machine learning.

Wenlong Xu1, Guoqiang He1, Chen Pan1

  • 1College of Information Engineering, China Jiliang University, Hangzhou, Zhejiang, China.

Frontiers in Public Health
|November 17, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new way to assess pulmonary function using cough sounds recorded on mobile devices. This method allows for frequent, at-home lung function testing, overcoming limitations of traditional hospital-based pulmonary function tests.

Keywords:
digital medicalforced cough soundmachine learningmobile servicepulmonary function assessment

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Area of Science:

  • Respiratory Medicine
  • Biomedical Engineering
  • Machine Learning in Healthcare

Background:

  • Traditional pulmonary function testing (PFT) is crucial for diagnosing and monitoring lung diseases but is confined to clinical settings.
  • The need for frequent, accessible lung function assessments, especially for chronic respiratory conditions, is unmet by current methods.
  • Mobile health solutions offer potential for remote patient monitoring and frequent data collection.

Purpose of the Study:

  • To develop and validate a novel method for assessing pulmonary function using forced cough sounds recorded via mobile devices.
  • To enable accurate and convenient at-home pulmonary function monitoring without time or location constraints.
  • To explore the feasibility of using machine learning models to analyze cough sounds for pulmonary function parameters.

Main Methods:

  • Collected 309 forced cough sound segments from 133 patients undergoing traditional PFT.
  • Extracted 52 features from cough sounds, reduced dimensionality using Principal Component Analysis (PCA).
  • Employed machine learning regression models (Support Vector Regression, Gradient Boosting Regression) to predict pulmonary function parameters (FEV1, FVC, FEV1/FVC, FEV1%, FVC%) using normalized features and biological attributes.
  • Evaluated model performance using 5-fold cross-validation and coefficient of determination (R2).

Main Results:

  • Support Vector Regression (SVR) demonstrated strong performance in assessing FVC (R2=0.84), FEV1% (R2=0.61), and FVC% (R2=0.62).
  • Gradient Boosting Regression (GBR) excelled in evaluating FEV1 (R2=0.86) and FEV1/FVC (R2=0.54).
  • The study confirmed the capability of analyzing forced cough sounds for accurate pulmonary function assessment.

Conclusions:

  • Analyzing forced cough sounds via mobile devices provides an accurate method for assessing pulmonary function.
  • This approach facilitates frequent, convenient, and remote pulmonary function monitoring in home environments.
  • The proposed method holds significant potential for managing chronic respiratory diseases and improving patient care through accessible PFT.