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Automatic adventitious respiratory sound analysis: A systematic review

https://doi.org/10.1371/journal.pone.0177926

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Understanding Heart Sounds and Murmurs, With an Introduction to Lung Sounds

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Artificial Neural Networks for Acoustic Lung Signals Classification

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Towards Continuous Wheeze Detection Body Sensor Node as a Core of Asthma Monitoring System

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Respiratory sound classification by using an incremental supervised neural network

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Signal feature extraction by multi-scale PCA and its application to respiratory sound classification

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Automatic Wheezing Detection Using Speech Recognition Technique

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Machine learning in lung sound analysis: A systematic review

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Two-level coarse-to-fine classification algorithm for asthma wheezing recognition in children's respiratory sounds

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Classification of lung sounds using higher-order statistics: A divide-and-conquer approach

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Two-stage classification of respiratory sound patterns

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Wheeze detection based on time-frequency analysis of breath sounds

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Design of a DSP-based instrument for real-time classification of pulmonary sounds

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Pattern recognition methods applied to respiratory sounds classification into normal and wheeze classes

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Wheezing recognition algorithm using recordings of respiratory sounds at the mouth in a pediatric population

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Lung sound classification using cepstral-based statistical features

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Pulmonary crackle detection using time–frequency and time–scale analysis

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Classification and analysis of non-stationary characteristics of crackle and rhonchus lung adventitious sounds

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New approaches for spectro-temporal feature extraction with applications to respiratory sound classification

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Automatic Crackle Detection Algorithm Based on Fractal Dimension and Box Filtering

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Computerized lung sound analysis as diagnostic aid for the detection of abnormal lung sounds: A systematic review and meta-analysis

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A Brief Overview of the Analysis of Lung Sounds

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Representation and Classification of Breath Sounds Recorded in an Intensive Care Setting Using Neural Networks

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Fundamentals of Lung Auscultation

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Classification between normal and abnormal lung sounds using unsupervised subject-adaptation

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Wheeze detection using fractional Hilbert transform in the time domain

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A novel method for feature extraction of crackles in lung sound

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An Automatic System for Crackles Detection and Classification

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A multiresolution analysis for detection of abnormal lung sounds

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Analysis of adventitious lung sounds originating from pulmonary tuberculosis

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Robust features for detection of crackles: An exploratory study

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Feature extraction using time-frequency analysis for monophonic-polyphonic wheeze discrimination

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Detection of wheezes using their signature in the spectrogram space and musical features

inferredcites →https://doi.org/10.1109/embc.2016.7590823openalex-snapshot

Application of semi-supervised deep learning to lung sound analysis

inferredcites →https://doi.org/10.1109/embc.2016.7591472openalex-snapshot

Detection of patients considering observation frequency of continuous and discontinuous adventitious sounds in lung sounds

inferredcites →https://doi.org/10.1109/embc.2016.7591526openalex-snapshot

Detection of crackle events using a multi-feature approach

inferredcites →https://doi.org/10.1109/embc.2016.7591542openalex-snapshot

A lung sound classification system based on the rational dilation wavelet transform

inferredcites →https://doi.org/10.1109/eusipco.2015.7362460openalex-snapshot

Abnormal-respiration detection by considering correlation of observation of adventitious sounds

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Mobile stethoscope and signal processing algorithms for pulmonary screening and diagnostics

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Classification between normal and abnormal respiratory sounds based on maximum likelihood approach

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Log-frequency spectrogram for respiratory sound monitoring

inferredcites →https://doi.org/10.1109/icics.2015.7459851openalex-snapshot

Detection of adventitious lung sounds using entropy features and a 2-D threshold setting

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Crackle separation and classification from normal Respiratory sounds using Gaussian Mixture Model

inferredcites →https://doi.org/10.1109/iembs.1992.5761571openalex-snapshot

Detection and clustering analysis of crackles in respiratory sounds

inferredcites →https://doi.org/10.1109/iembs.1992.592789openalex-snapshot

Detection And Clustering Analysis Of Crackles In Respiratory Sounds

inferredcites →https://doi.org/10.1109/iembs.1997.757031openalex-snapshot

Crackle detection and classification based on matched wavelet analysis

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Respiratory disease diagnosis using lung sounds

inferredcites →https://doi.org/10.1109/iembs.2005.1615858openalex-snapshot

Computerized Classification of Normal and Abnormal Lung Sounds by Multivariate Linear Autoregressive Model

inferredcites →https://doi.org/10.1109/iembs.2005.1616260openalex-snapshot

Respiratory Wheeze Detection System

inferredcites →https://doi.org/10.1109/iembs.2005.1616261openalex-snapshot

Modeling of Pulmonary Crackles Using Wavelet Networks

inferredcites →https://doi.org/10.1109/iembs.2007.4353002openalex-snapshot

Wheeze Detection Using Cepstral Analysis in Gaussian Mixture Models

inferredcites →https://doi.org/10.1109/iembs.2008.4649555openalex-snapshot

Automatic wheeze detection using histograms of sample entropy

inferredcites →https://doi.org/10.1109/iembs.2008.4649728openalex-snapshot

Lung sound analysis for wheeze episode detection

inferredcites →https://doi.org/10.1109/iembs.2009.5335395openalex-snapshot

Classification of respiratory signals by linear analysis

inferredcites →https://doi.org/10.1109/iembs.2010.5628092openalex-snapshot

Acoustics based assessment of respiratory diseases using GMM classification

inferredcites →https://doi.org/10.1109/iscid.2015.310openalex-snapshot

Wheeze Detection Algorithm Based on Spectrogram Analysis

inferredcites →https://doi.org/10.1109/iuce.2009.66openalex-snapshot

A Novel Wheeze Detection Method for Wearable Monitoring Systems

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Joint Application of Audio Spectral Envelope and Tonality Index in E-Asthma Monitoring System

inferredcites →https://doi.org/10.1109/jbhi.2015.2396636openalex-snapshot

Automatic Differentiation of Normal and Continuous Adventitious Respiratory Sounds Using Ensemble Empirical Mode Decomposition and Instantaneous Frequency

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Persistent Homology of Delay Embeddings and its Application to Wheeze Detection

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Respiratory sound classification using cepstral features and support vector machine

inferredcites →https://doi.org/10.1109/sbec.2013.27openalex-snapshot

Wheeze Detection and Location using Spectro-temporal Analysis of Lung Sounds

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Analysis and Automatic Classification of Breath Sounds

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Time-Frequency Detection and Analysis of Wheezes During Forced Exhalation

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Breathing Detection: Towards a Miniaturized, Wearable, Battery-Operated Monitoring System

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A Texture-Based Classification of Crackles and Squawks Using Lacunarity

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Analysis of Wheezes Using Wavelet Higher Order Spectral Features

inferredcites →https://doi.org/10.1109/tbme.2011.2160721openalex-snapshot

Adventitious Sounds Identification and Extraction Using Temporal–Spectral Dominance-Based Features

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A Comparison of SVM and GMM-Based Classifier Configurations for Diagnostic Classification of Pulmonary Sounds

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Wavelet packet based respiratory sound classification

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A comparison of neural network models for wheeze detection

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Automatic detection of wheezes by evaluation of multiple acoustic feature extraction methods and C-weighted SVM

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Book: Auscultation Skills: Breath and Heart Sounds

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Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

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Squawks in pneumonia

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Breath sounds

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Spectral and waveform characteristics of fine and coarse crackles.

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Spectral characteristics of chest wall breath sounds in normal subjects.

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Spectral characteristics of normal breath sounds

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Detection of Lungs Status Using Morphological Complexities of Respiratory Sounds

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Dynamic Visualization of Lung Sounds with a Vibration Response Device: A Case Series

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Respiratory Sounds

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Stridor: Differentiation from Asthma or Upper Airway Noise

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Recording of breath sounds.

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Clinical evaluation of the 3M Littmann Electronic Stethoscope Model 3200 in 150 cats

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Wheezes

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A comparative study of the svm and k-nn machine learning algorithms for the diagnosis of respiratory pathologies using pulmonary acoustic signals

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Bias in error estimation when using cross-validation for model selection

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Modelling study of dimerization in mammalian defensins

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Automatic Wheezing Detection Based on Signal Processing of Spectrogram and Back‐Propagation Neural Network

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Evaluation of the Usefulness of Spectral Analysis of Inspiratory Lung Sounds Recorded with Phonopneumography in Patients with Interstitial Pneumonia

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Auditory Detection of Simulated Crackles in Breath Sounds

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Method for automatic detection of wheezing in lung sounds

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A survey on automated wheeze detection systems for asthmatic patients

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Lung Sounds in Bronchial Asthma

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Computerized Respiratory Sounds in Patients with COPD: A Systematic Review

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An Embedded Classifier of Lung Sounds based on the Wavelet Packet Transform and ANN

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The detection of crackles based on mathematical morphology in spectrogram analysis

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An FPGA-Based Rapid Wheezing Detection System

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Soft Stethoscope for Detecting Asthma Wheeze in Young Children

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Using K-Nearest Neighbor Classification to Diagnose Abnormal Lung Sounds

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Signal Domain in Respiratory Sound Analysis: Methods, Application and Future Development

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Managing Asthma in Primary Care: Putting New Guideline Recommendations Into Context

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Computer-based Respiratory Sound Analysis: A Systematic Review

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Auscultation of the respiratory system

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An alternative respiratory sounds classification system utilizing artificial neural networks

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Automated Lung Sound Analysis in Patients With Pneumonia

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Automatic Wheeze Detection and Lung Function Evaluation - A Preliminary Study

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Detection Of Abnormal Lung Sounds Taking Into Account Duration Distribution For Adventitious Sounds

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No Unbiased Estimator of the Variance of K-Fold Cross-Validation

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On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation

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Understanding Lung Sounds.

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Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

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National Institute for Health Research

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Responding to Challenge Call of Machine Learning Model Development in Diagnosing Respiratory Disease Sounds

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An Algorithm for Automatic Breathing Phase Detection in Recorded Lung Sounds

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The highs and lows of wheezing: A review of the most popular adventitious lung sound

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Classification of Sounds Indicative of Respiratory Diseases

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AIM in Respiratory Disorders

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AIM in Respiratory Disorders

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Pulmonary Crackle Detection Using the Hilbert Energy Envelope

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Multilabel and Multiclass Approaches Comparison for Respiratory Sounds Classification

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Automatic Breath Analysis System Using Convolutional Neural Networks

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A Lightweight PANNs-Based Framework for Lung Sound Abnormality Detection

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Α Respiratory Sound Database for the Development of Automated Classification

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An Automated Lung Sound Preprocessing and Classification System Based OnSpectral Analysis Methods

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Detection of Cough and Adventitious Respiratory Sounds in Audio Recordings by Internal Sound Analysis

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Computerized Medical Disease Identification Using Respiratory Sound Based on MFCC and Neural Network

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Lung Disease Classification Based on Lung Sounds—A Review

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Mapping the evolution of respiratory signal research analysis: a fifty-year bibliometric analysis of trends, influential works, and emerging themes

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Developing an Empirical Acoustic Transfer Function Model for the Upper Airway

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Computerized acoustical techniques for respiratory flow-sound analysis: a systematic review

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Leveraging CQT-VMD and pre-trained AlexNet architecture for accurate pulmonary disease classification from lung sound signals

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Public opinion mining using natural language processing technique for improvisation towards smart city

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Locating stridor caused by tumor compression by using a multichannel electronic stethoscope: a case report

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A novel system that continuously visualizes and analyzes respiratory sounds to promptly evaluate upper airway abnormalities: a pilot study

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Regional respiratory sound abnormalities in pneumothorax and pleural effusion detected via respiratory sound visualization and quantification: case report

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Quantification of respiratory sounds by a continuous monitoring system can be used to predict complications after extubation: a pilot study

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An attribute-based framework to categorize adventitious lung sounds fostering automated diagnostic procedure

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Artificial Intelligence Based Techniques to Detect and Classify Adventitious Respiratory Sounds: An in-Depth Review

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Automatic acoustic identification of respiratory diseases

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Graph features based classification of bronchial and pleural rub sound signals: the potential of complex network unwrapped

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Fusion of CNN and swin transformer for robust lung sound classification

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Die Auskultation bei COPD hat noch immer ihren Stellenwert

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Listening for Biosignals: Bio-Mechanoacoustic Emissions and Recording Systems for Wearable Monitoring of Vital Sounds

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Computational lung sound classification: a review

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Automated respiratory sound analysis

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Respiratory decision support systems

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Correlated diseases

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Pitch-based correspondences related to abstract concepts

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Effect of wheeze and lung function on lung sound parameters in children with asthma

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A constrained tonal semi-supervised non-negative matrix factorization to classify presence/absence of wheezing in respiratory sounds

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Accurate respiratory sound classification model based on piccolo pattern

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Noise Reduction of Lung Sounds based on Singular Spectrum Analysis combined with Discrete Cosine Transform

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A robust audio classification system for detecting pulmonary edema

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Identification of asthma severity levels through wheeze sound characterization and classification using integrated power features

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Multichannel lung sound analysis to detect severity of lung disease in cystic fibrosis

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Iterative envelope mean fractal dimension filter for the separation of crackles from normal breath sounds

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Untangling the graph based features for lung sound auscultation

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A comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of COVID-19 patients at peak disease, and pre-discharge from the hospital

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Incorporating support vector machine to the classification of respiratory sounds by Convolutional Neural Network

inferred← citeshttps://doi.org/10.1016/j.bspc.2022.104555openalex-snapshot

Cochleogram-based adventitious sounds classification using convolutional neural networks

inferred← citeshttps://doi.org/10.1016/j.bspc.2023.104852openalex-snapshot

Reference free auscultation quality metric and its trends

inferred← citeshttps://doi.org/10.1016/j.bspc.2023.105222openalex-snapshot

A dual-purpose deep learning model for auscultated lung and tracheal sound analysis based on mixed set training

inferred← citeshttps://doi.org/10.1016/j.bspc.2023.105876openalex-snapshot

Resilient embedded system for classification respiratory diseases in a real time

inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106315openalex-snapshot

Automatic breathing phase identification based on the second derivative of the recorded lung sounds

inferred← citeshttps://doi.org/10.1016/j.bspc.2025.107790openalex-snapshot

Respiratory sounds classification by fusing the time-domain and 2D spectral features

inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108232openalex-snapshot

Adaptive thresholding of DWT coefficients using UNet for denoising real-life respiratory sounds

inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108438openalex-snapshot

Diagnosis of Chronic obstructive pulmonary disease based on deep learning and auscultation lung sound

inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108477openalex-snapshot

Leveraging unlabeled data for lung sound classification through self-supervised contrastive learning

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.109920openalex-snapshot

ACT-COPD: Auxiliary-task cooperative training framework for severity detection of chronic obstructive pulmonary disease

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.109939openalex-snapshot

AeroCOPDNet: A deep learning framework for COPD detection from lung sounds

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110807openalex-snapshot

Construction and validation of a lightweight lung sound classification model assisted by physical simulation

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110907openalex-snapshot

Pneumonia diagnosis and severity assessment using intelligent wireless stethoscope

inferred← citeshttps://doi.org/10.1016/j.ceh.2025.01.001openalex-snapshot

Leveraging deep edge intelligence for real-time respiratory disease detection

inferred← citeshttps://doi.org/10.1016/j.chaos.2020.110246openalex-snapshot

Nonlinear time series and principal component analyses: Potential diagnostic tools for COVID-19 auscultation

inferred← citeshttps://doi.org/10.1016/j.chest.2023.01.024openalex-snapshot

Smart Devices Are Poised to Revolutionize the Usefulness of Respiratory Sounds

inferred← citeshttps://doi.org/10.1016/j.chpulm.2024.100079openalex-snapshot

Machines Are Learning Chest Auscultation. Will They Also Become Our Teachers?

inferred← citeshttps://doi.org/10.1016/j.cmpb.2019.06.024openalex-snapshot

Automatic Multi-Level In-Exhale Segmentation and Enhanced Generalized S-Transform for wheezing detection

inferred← citeshttps://doi.org/10.1016/j.cmpb.2023.107720openalex-snapshot

BRACETS: Bimodal repository of auscultation coupled with electrical impedance thoracic signals

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2016.05.013openalex-snapshot

Lung sound classification using cepstral-based statistical features

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2018.09.007openalex-snapshot

Instantaneous frequency based index to characterize respiratory crackles

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2018.10.035openalex-snapshot

Characterization and classification of asthmatic wheeze sounds according to severity level using spectral integrated features

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2018.11.004openalex-snapshot

Wheeze type classification using non-dyadic wavelet transform based optimal energy ratio technique

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2020.103831openalex-snapshot

Multi-channel lung sound classification with convolutional recurrent neural networks

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.104288openalex-snapshot

Resonance based separation and energy based classification of lung sounds using tunable wavelet transform

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.108698openalex-snapshot

Tunable Q-factor wavelet transform based lung signal decomposition and statistical feature extraction for effective lung disease classification

inferred← citeshttps://doi.org/10.1016/j.dcmed.2025.03.004openalex-snapshot

Research progress in digital auscultation: equipment and systems, characteristic parameters, and their application in diagnosis of pulmonary diseases and syndromes

inferred← citeshttps://doi.org/10.1016/j.inffus.2023.102106openalex-snapshot

Software defined radio frequency sensing framework for Internet of Medical Things

inferred← citeshttps://doi.org/10.1016/j.jemermed.2022.07.001openalex-snapshot

Continuous Monitoring Versus Intermittent Auscultation of Wheezes in Patients Presenting With Acute Respiratory Distress

inferred← citeshttps://doi.org/10.1016/j.measurement.2026.123450openalex-snapshot

Assessment of clog in endotracheal tube by analyzing the variability of Rhonchi signals

inferred← citeshttps://doi.org/10.1016/j.pmcj.2022.101685openalex-snapshot

Multi-task learning neural networks for breath sound detection and classification in pervasive healthcare

inferred← citeshttps://doi.org/10.1016/j.procs.2020.03.228openalex-snapshot

Random Subset Feature Selection and Classification of Lung Sound

inferred← citeshttps://doi.org/10.1016/j.rineng.2025.104744openalex-snapshot

Machine learning-based methods for detecting respiratory abnormalities using audio and visual analysis: A review

inferred← citeshttps://doi.org/10.1016/j.smhl.2022.100332openalex-snapshot

An explainable COVID-19 detection system based on human sounds

inferred← citeshttps://doi.org/10.1016/j.sna.2025.116237openalex-snapshot

Respiratory system disease recognition based on diaphragm fiber-optic F-P sensor

inferred← citeshttps://doi.org/10.1016/j.softx.2026.103011openalex-snapshot

RespAnno: A graphical software tool for manual and machine-assisted annotation of continuous respiratory sounds

inferred← citeshttps://doi.org/10.1016/j.yrmex.2021.100027openalex-snapshot

Computerized respiratory sounds in paediatrics: A systematic review

inferred← citeshttps://doi.org/10.1038/s41598-021-92666-2openalex-snapshot

Detection of pathological mechano-acoustic signatures using precision accelerometer contact microphones in patients with pulmonary disorders

inferred← citeshttps://doi.org/10.1038/s41598-022-25953-1openalex-snapshot

An accurate deep learning model for wheezing in children using real world data

inferred← citeshttps://doi.org/10.1038/s41598-025-05027-8openalex-snapshot

Ensemble learning for biomedical signal classification: a high-accuracy framework using spectrograms from percussion and palpation

inferred← citeshttps://doi.org/10.1038/s41598-025-89533-9openalex-snapshot

An explainable and accurate transformer-based deep learning model for wheeze classification utilizing real-world pediatric data

inferred← citeshttps://doi.org/10.1038/s41598-025-98546-3openalex-snapshot

Real-time airway monitoring system using binary classification model based on respiratory sounds of rabbits with a tracheostomy tube

inferred← citeshttps://doi.org/10.1038/s41598-026-52899-5openalex-snapshot

Digital stethoscope use by non-physician primary care health workers on children under five years of age in rural Bangladesh: a feasibility study

inferred← citeshttps://doi.org/10.1038/s41746-023-00838-3openalex-snapshot

DeepBreath—automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries

inferred← citeshttps://doi.org/10.1049/iet-spr.2019.0487openalex-snapshot

Collaborative framework for automatic classification of respiratory sounds

inferred← citeshttps://doi.org/10.1063/5.0020121openalex-snapshot

Phase portrait for high fidelity feature extraction and classification: A surrogate approach

inferred← citeshttps://doi.org/10.1088/1361-6579/ab03eaopenalex-snapshot

An open access database for the evaluation of respiratory sound classification algorithms

inferred← citeshttps://doi.org/10.1088/1361-6579/ada9c0openalex-snapshot

Automated system for diagnosing pulmonary fibrosis using crackle analysis in recorded lung sounds based on iterative envelope mean fractal dimension filter

inferred← citeshttps://doi.org/10.1088/1361-6579/adaf08openalex-snapshot

REDT: a specialized transformer model for the respiratory phase and adventitious sound detection

inferred← citeshttps://doi.org/10.1088/1361-6579/ae95adopenalex-snapshot

Paediatric respiratory sound classification by integrating local feature extraction and global context modeling

inferred← citeshttps://doi.org/10.1088/1742-6596/1450/1/012041openalex-snapshot

The implementation of Fast Hilbert Transform with low pass filter for reconstructing breathing sound signals in LabView

inferred← citeshttps://doi.org/10.1088/1742-6596/2377/1/012024openalex-snapshot

Heart Sound Signal Analysis for Digital Auscultation

inferred← citeshttps://doi.org/10.1093/jamiaopen/ooaf083openalex-snapshot

Chronic obstructive pulmonary disease screening using time–frequency features of self-recorded respiratory sounds

inferred← citeshttps://doi.org/10.1097/aud.0000000000001301openalex-snapshot

Performance of an Automated Detection Algorithm to Assess Objective Pulsatile Tinnitus

inferred← citeshttps://doi.org/10.1097/mcp.0000000000000459openalex-snapshot

Artificial intelligence in diagnosis of obstructive lung disease

inferred← citeshttps://doi.org/10.1097/md.0000000000016419openalex-snapshot

Squawks in interstitial lung disease prevalence and causes in a cohort of one thousand patients

inferred← citeshttps://doi.org/10.1097/md.0000000000024738openalex-snapshot

A machine-learning based approach to quantify fine crackles in the diagnosis of interstitial pneumonia

inferred← citeshttps://doi.org/10.1097/mop.0000000000001432openalex-snapshot

Reimagining apnea monitoring in the neonatal ICU

inferred← citeshttps://doi.org/10.1101/2022.11.18.22282442openalex-snapshot

Validity of a deep learning algorithm for detecting wheezes and crackles from lung sound recordings in adults

inferred← citeshttps://doi.org/10.1101/2024.08.14.24312012openalex-snapshot

Automatic diagnostic support for diagnosis of pulmonary fibrosis

inferred← citeshttps://doi.org/10.1109/access.2019.2903859openalex-snapshot

Triple-Classification of Respiratory Sounds Using Optimized S-Transform and Deep Residual Networks

inferred← citeshttps://doi.org/10.1109/access.2021.3097559openalex-snapshot

Cough Sound Detection and Diagnosis Using Artificial Intelligence Techniques: Challenges and Opportunities

inferred← citeshttps://doi.org/10.1109/access.2024.3417183openalex-snapshot

Enhancing Lung Acoustic Signals Classification With Eigenvectors-Based and Traditional Augmentation Methods

inferred← citeshttps://doi.org/10.1109/access.2025.3566477openalex-snapshot

Hybrid Dual-Input Model for Respiratory Sound Classification With Mel Spectrogram and Waveform

inferred← citeshttps://doi.org/10.1109/access.2025.3619512openalex-snapshot

Design and Development of an Intelligent System Applied to the Interpretation of Lung Auscultation

inferred← citeshttps://doi.org/10.1109/access.2026.3657941openalex-snapshot

Breathing Cycle Detection System for Respiratory Sounds Using Deep Learning

inferred← citeshttps://doi.org/10.1109/access.2026.3737132openalex-snapshot

Domain-Adaptive Pretraining and a Leakage-Corrected Evaluation Protocol for Respiratory Sound Classification

inferred← citeshttps://doi.org/10.1109/ai-csp52968.2021.9671124openalex-snapshot

VGG16, ResNet-50, and GoogLeNet Deep Learning Architecture for Breathing Sound Classification: A Comparative Study

inferred← citeshttps://doi.org/10.1109/ai-csp52968.2021.9671211openalex-snapshot

Three ResNet Deep Learning Architectures Applied in Pulmonary Pathologies Classification

inferred← citeshttps://doi.org/10.1109/aicas57966.2023.10168624openalex-snapshot

LungHeart-AtMe: Adventitious Cardiopulmonary Sounds Classification Using MMoE with STFT and MFCCs Spectrograms

inferred← citeshttps://doi.org/10.1109/bhi58575.2023.10313454openalex-snapshot

Intelligent Stethoscope using Full Self-Attention Mechanism for Abnormal Respiratory Sound Recognition

inferred← citeshttps://doi.org/10.1109/bibm52615.2021.9669787openalex-snapshot

ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention

inferred← citeshttps://doi.org/10.1109/biocas54905.2022.9948543openalex-snapshot

Improving The ResNet-based Respiratory Sound Classification Systems With Focal Loss

inferred← citeshttps://doi.org/10.1109/biocas54905.2022.9948551openalex-snapshot

Grand Challenge on Respiratory Sound Classification for SPRSound Dataset

inferred← citeshttps://doi.org/10.1109/biocas58349.2023.10388733openalex-snapshot

Pediatric Respiratory Sound Classification Using a Dual Input Deep Learning Architecture

inferred← citeshttps://doi.org/10.1109/biocas58349.2023.10389029openalex-snapshot

Supervised Contrastive Pretrained ResNet with MixUp to Enhance Respiratory Sound Classification on Imbalanced and Limited Dataset

inferred← citeshttps://doi.org/10.1109/biocas61083.2024.10798165openalex-snapshot

An Effective Respiratory Disease Diagnosis System Using Adaptive Oversampling and Dynamic Audio Concatenation

inferred← citeshttps://doi.org/10.1109/ccci49893.2020.9256562openalex-snapshot

COVID-19 Detection System using Recurrent Neural Networks

inferred← citeshttps://doi.org/10.1109/ccip57447.2022.10058633openalex-snapshot

Detection of Chronic Lung Disorders using Deep Learning

inferred← citeshttps://doi.org/10.1109/ceii65291.2024.00022openalex-snapshot

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification

inferred← citeshttps://doi.org/10.1109/colcaci52978.2021.9469042openalex-snapshot

Respiratory Sounds Classification employing a Multi-label Approach

inferred← citeshttps://doi.org/10.1109/com-it-con54601.2022.9850882openalex-snapshot

Pulmonary Screening using Auscultation and Smart Stethoscope: A review

inferred← citeshttps://doi.org/10.1109/dtpi61353.2024.10778920openalex-snapshot

Recognition of Retained Secretions in Central-Airway for Adult Patients Receiving Mechanical Ventilation

inferred← citeshttps://doi.org/10.1109/ecbios57802.2023.10218442openalex-snapshot

Development of Android-Based Pulmonary Monitoring System for Automated Lung Auscultation Using Long Short-Term Memory (LSTM) Network with Post-Processing from Edge Impulse

inferred← citeshttps://doi.org/10.1109/eespe68405.2026.11648993openalex-snapshot

Multimodal Respiratory Sound Classification Using CWT Time–Frequency Representation and Cross-Modal Fusion

inferred← citeshttps://doi.org/10.1109/elnano54667.2022.9927121openalex-snapshot

Differentiating of Respiratory Noises Based on Higher Order Spectral Analysis

inferred← citeshttps://doi.org/10.1109/elnano63396.2026.11601412openalex-snapshot

Classification of Respiratory Sounds by Respiratory System Condition Using Open-Access Databases

inferred← citeshttps://doi.org/10.1109/embc.2019.8857928openalex-snapshot

A dataset for systematic testing of crackle separation techniques

inferred← citeshttps://doi.org/10.1109/embc46164.2021.9630091openalex-snapshot

RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting

inferred← citeshttps://doi.org/10.1109/embc46164.2021.9630577openalex-snapshot

Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1109/embc53108.2024.10782543openalex-snapshot

Robust Anomaly Detection of Adventitious Auscultation Signals using Bayesian Belief Tracking

inferred← citeshttps://doi.org/10.1109/icarm52023.2021.9536184openalex-snapshot

Interpretable Respiratory Sound Analysis with Ensemble Knowledge Distillation

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747014openalex-snapshot

Prototype Learning for Interpretable Respiratory Sound Analysis

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889154openalex-snapshot

PulmoScan: A Practical Pulmonary Disease Pre-Screening System

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889965openalex-snapshot

Low-rank Adaptation Method for Respiratory Sound Classification: A necessary road towards Large Models

inferred← citeshttps://doi.org/10.1109/icasspw59220.2023.10193030openalex-snapshot

Self-Supervised Audio Encoder with Contrastive Pretraining for Respiratory Anomaly Detection

inferred← citeshttps://doi.org/10.1109/icecce49384.2020.9179417openalex-snapshot

Spectral Analysis of Lungs sounds for Classification of Asthma and Pneumonia Wheezing

inferred← citeshttps://doi.org/10.1109/icfsp62546.2024.10785273openalex-snapshot

Diagnosis Through Adventitious Sounds Detection and Respiratory Phases Identification Using XGBoost

inferred← citeshttps://doi.org/10.1109/icicnis66685.2025.11315797openalex-snapshot

CNN with Efficient Channel Attention for Multi-Class Respiratory Sound Prediction

inferred← citeshttps://doi.org/10.1109/iciibms46890.2019.8991459openalex-snapshot

Detection of Adventitious Respiratory Sounds based on Convolutional Neural Network

inferred← citeshttps://doi.org/10.1109/icit58056.2023.10225790openalex-snapshot

VGG16-Based Deep Learning Architectures for Classification of Lung Sounds into Normal, Crackles, and Wheezes using Gammatonegrams

inferred← citeshttps://doi.org/10.1109/icmla66185.2025.00166openalex-snapshot

Detecting Patient and Healthy People’s Personalized Breathing Patterns with Few-Shot Learning

inferred← citeshttps://doi.org/10.1109/icngis54955.2022.10079793openalex-snapshot

Respiratory Disease Detection using Depthwise Seperable Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1109/icoict.2019.8835278openalex-snapshot

Lung Sounds Classification Using Stacked Autoencoder and Support Vector Machine

inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412226openalex-snapshot

Influence of Event Duration on Automatic Wheeze Classification

inferred← citeshttps://doi.org/10.1109/icscds56580.2023.10104921openalex-snapshot

ESP8266 - based Real-time Auscultation Sound Classification

inferred← citeshttps://doi.org/10.1109/icsgrc.2018.8657630openalex-snapshot

A Performance Comparison of Wheeze Feature Extraction Methods for Asthma Severity Levels Classification

inferred← citeshttps://doi.org/10.1109/icsip57908.2023.10270823openalex-snapshot

Respiratory Sound Classification Based on Swin Transformer

inferred← citeshttps://doi.org/10.1109/icsip61881.2024.10671504openalex-snapshot

Lightweight Hierarchical Transformer Combining Patch-Random and Positional Encoding for Respiratory Sound Classification

inferred← citeshttps://doi.org/10.1109/icsps66615.2025.11347745openalex-snapshot

Cardiorespiratory Sound Separation Using Singular Spectrum Analysis

inferred← citeshttps://doi.org/10.1109/iicc69623.2026.11582425openalex-snapshot

A Dual-Modal Smart Stethoscope for Cardiopulmonary Diagnosis

inferred← citeshttps://doi.org/10.1109/iisa56318.2022.9904377openalex-snapshot

Quantum Machine Learning for Audio Classification with Applications to Healthcare

inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191600openalex-snapshot

Self-Explaining Neural Networks for Respiratory Sound Classification with Scale-free Interpretability

inferred← citeshttps://doi.org/10.1109/is3c50286.2020.00145openalex-snapshot

Biological Sound Sensor Robust to Air Conduction Noise

inferred← citeshttps://doi.org/10.1109/ispp69262.2026.11543100openalex-snapshot

OPERA-CT Pretraining and Hybrid Temporal Modeling for Lung Sound Event Detection

inferred← citeshttps://doi.org/10.1109/jbhi.2019.2944995openalex-snapshot

Blind Equalization of Lung Crackle Sounds to Compensate Chest Attenuation

inferred← citeshttps://doi.org/10.1109/jbhi.2021.3123353openalex-snapshot

Comprehensive Analysis System for Automated Respiratory Cycle Segmentation and Crackle Peak Detection

inferred← citeshttps://doi.org/10.1109/jbhi.2023.3248265openalex-snapshot

Automatic Wheeze Segmentation Using Harmonic-Percussive Source Separation and Empirical Mode Decomposition

inferred← citeshttps://doi.org/10.1109/jbhi.2023.3299341openalex-snapshot

Explainable Siamese Neural Network for Classifying Pediatric Respiratory Sounds

inferred← citeshttps://doi.org/10.1109/jbhi.2024.3474975openalex-snapshot

Acoustic COVID-19 Detection Using Multiple Instance Learning

inferred← citeshttps://doi.org/10.1109/jsen.2019.2900713openalex-snapshot

Continuous Health Monitoring With Resonant-Microphone-Array-Based Wearable Stethoscope

inferred← citeshttps://doi.org/10.1109/macs48846.2019.9024831openalex-snapshot

Intelligent System for Classification of Pulmonary Diseases from Lung Sound

inferred← citeshttps://doi.org/10.1109/mapr.2019.8743533openalex-snapshot

e-Breath: Breath Detection and Monitoring Using Frequency Cepstral Feature Fusion

inferred← citeshttps://doi.org/10.1109/nics54270.2021.9701460openalex-snapshot

An Adaptive Method for Classification of Noisy Respiratory Sounds

inferred← citeshttps://doi.org/10.1109/nmitcon65824.2025.11188958openalex-snapshot

Multilabel Classification of Complex Lung Sounds Using a Hybrid Deep Learning Approach

inferred← citeshttps://doi.org/10.1109/ojemb.2020.3026468openalex-snapshot

SARS-CoV-2 Detection From Voice

inferred← citeshttps://doi.org/10.1109/prai59366.2023.10332031openalex-snapshot

Hybrid Spectrogram for the Automatic Respiratory Sound Classification with Group Time Frequency Attention Network

inferred← citeshttps://doi.org/10.1109/rbme.2020.3002970openalex-snapshot

Methods for Adventitious Respiratory Sound Analyzing Applications Based on Smartphones: A Survey

inferred← citeshttps://doi.org/10.1109/sensors56945.2023.10325258openalex-snapshot

ModAu: Modernized Auscultation

inferred← citeshttps://doi.org/10.1109/sera65747.2025.11154610openalex-snapshot

Respiratory Disease Classification Using IPMix and Custom Deep Learning Architectures

inferred← citeshttps://doi.org/10.1109/siu49456.2020.9302513openalex-snapshot

Classification of Respiratory Sounds Including Normal and Crackle/Rhonchi Pathologies

inferred← citeshttps://doi.org/10.1109/taslpro.2026.3678800openalex-snapshot

S pectral- T rustworthy A ugmentation H armonizer Toward Automated Lung Auscultation Under Pathological Sample-Scarcity Scenario

inferred← citeshttps://doi.org/10.1109/tbcas.2020.2981172openalex-snapshot

Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning

inferred← citeshttps://doi.org/10.1109/tbcas.2022.3204910openalex-snapshot

SPRSound: Open-Source SJTU Paediatric Respiratory Sound Database

inferred← citeshttps://doi.org/10.1109/tbcas.2024.3409584openalex-snapshot

Supervised Contrastive Learning Framework and Hardware Implementation of Learned ResNet for Real-Time Respiratory Sound Classification

inferred← citeshttps://doi.org/10.1109/tbme.2022.3156293openalex-snapshot

Lung Sound Classification Using Co-Tuning and Stochastic Normalization

inferred← citeshttps://doi.org/10.1109/tbme.2023.3239372openalex-snapshot

A Multi-Center Clinical Trial for Wireless Stethoscope-Based Diagnosis and Prognosis of Children Community-Acquired Pneumonia

inferred← citeshttps://doi.org/10.1109/tbme.2026.3701932openalex-snapshot

Physiology-Aware Temporal Attention and Frequency Band Selection for Robust Respiratory Sound Analysis

inferred← citeshttps://doi.org/10.1109/tfuzz.2022.3144448openalex-snapshot

Explainable CNN With Fuzzy Tree Regularization for Respiratory Sound Analysis

inferred← citeshttps://doi.org/10.1117/12.2590770openalex-snapshot

Development of a respiratory sound labeling software for training a deep learning-based respiratory sound analysis model

inferred← citeshttps://doi.org/10.1134/s0362119725700483openalex-snapshot

Band-Pass Spectral-Temporal Parameters of Forced Expiratory Noises in Bronchial Obstruction. Relation with Whistling Sounds

inferred← citeshttps://doi.org/10.1136/bmjopen-2021-059630openalex-snapshot

Digital auscultation as a novel childhood pneumonia diagnostic tool for community clinics in Sylhet, Bangladesh: protocol for a cross-sectional study

inferred← citeshttps://doi.org/10.1136/bmjresp-2021-001144openalex-snapshot

Digitally recorded and remotely classified lung auscultation compared with conventional stethoscope classifications among children aged 1–59 months enrolled in the Pneumonia Etiology Research for Child Health (PERCH) case–control study

inferred← citeshttps://doi.org/10.1136/thoraxjnl-2020-214556openalex-snapshot

Applications of artificial intelligence and machine learning in respiratory medicine

inferred← citeshttps://doi.org/10.1145/3313831.3376444openalex-snapshot

Assessing Severity of Pulmonary Obstruction from Respiration Phase-Based Wheeze-Sensing Using Mobile Sensors

inferred← citeshttps://doi.org/10.1145/3394486.3412865openalex-snapshot

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data

inferred← citeshttps://doi.org/10.1145/3721201.3721402openalex-snapshot

Enhancing Respiratory Disease Diagnosis with Graph Convolutional Networks Through Non-Speech Audio Synthesis

inferred← citeshttps://doi.org/10.11591/eei.v8i3.1517openalex-snapshot

Distinctive features for normal and crackles respiratory sounds using cepstral coefficients

inferred← citeshttps://doi.org/10.1183/16000617.0246-2024openalex-snapshot

Audio-based digital biomarkers in diagnosing and managing respiratory diseases: a systematic review and bibliometric analysis

inferred← citeshttps://doi.org/10.1183/23120541.00116-2025openalex-snapshot

Validation of artificial intelligence spirometry diagnostic support software in primary care: a blinded diagnostic accuracy study

showing the first 200 of 293

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