Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Assessment of Ventilation II: Respiratory Depth and Rhythm01:29

Assessment of Ventilation II: Respiratory Depth and Rhythm

2.8K
Respiratory Depth
Respiratory depth measures the volume of air inhaled or exhaled during a breath. It can vary from shallow to deep and typically remains consistent when a person is at rest or asleep. Occasionally, individuals will automatically inhale deeply, known as sighing, which inflates the lungs with more air than normal breathing.
To assess respiratory depth, observe the degree of chest excursion or movement:
2.8K
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies01:27

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

3.4K
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
3.4K
Assessment of Respiration01:23

Assessment of Respiration

2.3K
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...
2.3K
Chronic Obstructive Pulmonary Disease-I: Introduction01:20

Chronic Obstructive Pulmonary Disease-I: Introduction

4.1K
Chronic Obstructive Pulmonary Disease (COPD) is a long-lasting respiratory condition requiring continuous attention and care. It is a progressive lung disease that leads to breathing challenges due to airflow obstruction. It manifests as persistent respiratory symptoms and restricted airflow resulting from abnormalities in the airways and alveoli, usually due to long-term exposure to harmful particles or gases. COPD mainly consists of two primary conditions: emphysema and chronic bronchitis.
4.1K
Respiratory Volumes01:15

Respiratory Volumes

3.4K
Respiratory volumes are crucial metrics, meticulously measured to quantify the air exchanged in and out of the lungs during various phases of the breathing cycle. These precise measurements are vital for assessing lung function, diagnosing respiratory conditions, and monitoring overall respiratory health. Each parameter provides specific insights into the mechanics of breathing and the functional capacity of the lungs.
Tidal Volume (TV) Tidal volume (TV) is the air inhaled or exhaled in a...
3.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Multi-omics analysis reveals mechanisms of Qingying granules in treating porcine warm disease: dosage optimization and systems biology insights.

BMC veterinary research·2026
Same author

Amino-acids-mTORC1-driven DDA1 phosphorylation promotes DNA repair and glioblastoma progression.

Cell communication and signaling : CCS·2026
Same author

Structural insights into the specificity of adaptor proteins Dok5 and Dok6 Docking to Trk receptors.

Cell communication and signaling : CCS·2026
Same author

CL-ODGAN: an unpaired attention-guided GAN framework for remote sensing image dehazing.

Scientific reports·2026
Same author

miR-151-5p regulates neural stem cell fate by targeting APH1A to modulate Notch signaling gradients.

Stem cell reports·2026
Same author

Hyaluronidase Reverses the Effect of Hyaluronic Acid Without Destroying Normal Skin Structure.

Journal of cosmetic dermatology·2026
Same journal

An Ultra-Lightweight Cross-scale Attention Mamba Network for Accurate Skin Lesion Segmentation.

IEEE journal of biomedical and health informatics·2026
Same journal

Explanation-Guided Reconstruction of Missing Clinical Features for Survival Prediction in Pancreatic Cancer.

IEEE journal of biomedical and health informatics·2026
Same journal

stDGCN: A dual-augmentation graph convolutional network for identifying spatial domains with attention mechanism.

IEEE journal of biomedical and health informatics·2026
Same journal

Patient-specific Biomechanical Investigation of Percutaneous Pulmonary Valves: Towards the Integration of Routinely Acquired Clinical Data and Fluid-structure Interaction Simulations.

IEEE journal of biomedical and health informatics·2026
Same journal

Cross-subject fMRI-to-Image with Visual-cortex 2D Representation and Pre-Training.

IEEE journal of biomedical and health informatics·2026
Same journal

PGCASurv: A Prior-Guided Cross-Attention Framework for Dynamic Survival Model with Longitudinal Data.

IEEE journal of biomedical and health informatics·2026
See all related articles

Related Experiment Video

Updated: Mar 27, 2026

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

637

A Multi-Scale Hybrid Efficient Deep Learning Model for COPD Detection Using Respiratory Sounds.

Xingchen Dong, Xiaoyu Chen, Qiangqiang Chen

    IEEE Journal of Biomedical and Health Informatics
    |March 25, 2026
    PubMed
    Summary
    This summary is machine-generated.

    A new deep learning model accurately diagnoses Chronic Obstructive Pulmonary Disease (COPD) using respiratory sounds. This non-invasive approach combines multiple AI techniques for superior diagnostic accuracy in clinical settings.

    More Related Videos

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

    Asthma Detection Research Based on Voice Signal Processing and Machine Learning

    Published on: July 22, 2025

    1.2K

    Related Experiment Videos

    Last Updated: Mar 27, 2026

    Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
    06:22

    Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

    Published on: September 19, 2025

    637
    Asthma Detection Research Based on Voice Signal Processing and Machine Learning
    04:04

    Asthma Detection Research Based on Voice Signal Processing and Machine Learning

    Published on: July 22, 2025

    1.2K

    Area of Science:

    • Pulmonary Medicine
    • Artificial Intelligence in Healthcare
    • Respiratory Diagnostics

    Background:

    • Chronic Obstructive Pulmonary Disease (COPD) is a widespread respiratory illness where early detection significantly improves patient outcomes.
    • Respiratory sound analysis offers a non-invasive method to assess airway conditions, presenting potential for auxiliary COPD diagnosis.
    • Current diagnostic methods for COPD using respiratory sounds are limited by a focus on specific abnormal sounds and reliance on single analytical features or architectures, hindering accuracy.

    Purpose of the Study:

    • To develop an advanced diagnostic tool for COPD leveraging respiratory sound analysis.
    • To overcome the limitations of existing methods by creating a multi-scale hybrid deep learning model.
    • To enhance diagnostic accuracy by integrating diverse features from respiratory signals.

    Main Methods:

    • A novel multi-scale hybrid deep learning model was proposed, integrating Convolutional Neural Network (CNN), Bidirectional Long Short-term Memory networks (BiLSTM), and Vision Transformer (ViT).
    • The model processed both raw respiratory signals and multi-scale Mel spectrograms to capture temporal, spatial, and global contextual information.
    • A Multi-Scale Dynamic Fusion (MSDF) module was employed to effectively integrate these extracted features, optimizing representation and balancing model complexity with performance.

    Main Results:

    • The proposed model achieved high diagnostic accuracies: 99.23% on the ICBHI database and 98.48% on the KAUH/RespiratoryDatabase@TR hybrid database.
    • The hybrid deep learning approach demonstrated superior performance compared to methods relying on single features or architectures.
    • The MSDF module successfully enhanced feature integration, contributing to the model's robust diagnostic capabilities.

    Conclusions:

    • The developed multi-scale hybrid deep learning model shows significant promise as an effective tool for the clinical diagnosis of COPD.
    • Respiratory sound analysis, when enhanced by advanced AI techniques, can provide accurate and non-invasive diagnostic support for COPD.
    • This approach offers a pathway to improved early diagnosis and intervention for COPD patients.