Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Assessment of Ventilation II: Respiratory Depth and Rhythm

Assessment of Ventilation II: Respiratory Depth and Rhythm

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:

You might also read

Related Articles

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

Sort by

Same author

Double Zernike polynomial-based desensitization design method for off-axis optical systems.

Optics express·2026

Same author

CRISPR-based next-generation molecular diagnostics for bone infection.

Frontiers in cell and developmental biology·2026

Same author

White cell - platelet ratio: A strong indicator for early mortality in liver cirrhosis patients with esophagogastric varices.

Scientific reports·2026

Same author

Fast-Scan Voltammetry-Driven Nanoprobes for the Intracellular PTP1B Activity Assay and Invasiveness Evaluation of Single Tumor Cells.

Analytical chemistry·2026

Same author

Evaluation of DeepSeek-Generated Biochemistry Clinical Cases for Teaching Purpose.

Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology·2026

Same author

Occlusion of Paraspinal Vein Shunt Alleviated Post-TIPS Hepatic Myelopathy in a Patient with Cirrhosis.

Journal of clinical and translational hepatology·2026

Search research articles

Related Experiment Video

Updated: Jan 14, 2026

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

Published on: August 9, 2024

An efficient lung sound separation algorithm base on GIHO-VMD.

Leiming Zhang¹, Fuliang He¹, Hao Tan¹

¹College of Electronic and Information Engineering, Southwest University, 400715, Chongqing, China.

Computer Methods and Programs in Biomedicine

|October 24, 2025

Summary

This summary is machine-generated.

This study introduces a novel algorithm for separating lung sounds (LS) from heart sounds (HS). The Guided-Improve Hippopotamus Optimization based Variational Mode Decomposition (GIHO-VMD) method enhances diagnostic accuracy by improving lung sound signal decomposition.

Keywords:

Disruption Operator Fuzzy Entropy Guided Learning Strategy Hippopotamus Optimization Algorithm Lung Sound Separation Variational Mode Decomposition

More Related Videos

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

Related Experiment Videos

Last Updated: Jan 14, 2026

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

Published on: August 9, 2024

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

Area of Science:

Biomedical Engineering
Signal Processing
Medical Diagnostics

Background:

Lung sounds (LS) are crucial for diagnosing lung diseases.
Clinical auscultation is hindered by heart sounds (HS) and noise, compromising accuracy.
Spectral overlap and signal non-stationarity pose challenges for LS separation.

Purpose of the Study:

To develop an advanced algorithm for accurate lung sound separation.
To overcome limitations of conventional methods in extracting pathological LS.
To improve the quality and reliability of lung sound analysis for disease diagnosis.

Main Methods:

Proposed a Guided-Improve Hippopotamus Optimization based Variational Mode Decomposition (GIHO-VMD) algorithm.
Utilized Fuzzy Entropy (FE) as the objective function with a novel complexity constraint.
Integrated a Disruption Operator (DO) and Guided Learning Strategy (GLS) for enhanced optimization and convergence.

Main Results:

The GIHO-VMD method successfully separated simulated heart and lung sound signals.
Achieved an average Signal-to-Noise Ratio (SNR) of 30.27 dB for normal LS and 28.60-30.11 dB for abnormal LS.
Obtained an average Normalized Cross-Correlation (NCC) of 63.15% for separated LS.

Conclusions:

The proposed GIHO-VMD method demonstrates robust lung sound signal separation capabilities.
Effectively addresses the challenge of extracting LS from heart and lung sound mixtures.
Shows significant potential for improving the generalization, quality, and accuracy of lung sound decomposition for diagnostics.