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

https://doi.org/10.1109/embc.2016.7591542
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What this work says

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

inferredcites →https://doi.org/10.1007/bf02771006openalex-snapshot
Breath sounds methodology
inferredcites →https://doi.org/10.1007/s10916-005-5182-9openalex-snapshot
Combining Neural Network and Genetic Algorithm for Prediction of Lung Sounds
inferredcites →https://doi.org/10.1016/0010-4825(95)00025-9openalex-snapshot
Multiresolution biological transient extraction applied to respiratory crackles
inferredcites →https://doi.org/10.1016/j.bbe.2013.07.001openalex-snapshot
Machine learning in lung sound analysis: A systematic review
inferredcites →https://doi.org/10.1016/j.dsp.2012.12.009openalex-snapshot
Pulmonary crackle detection using time–frequency and time–scale analysis
inferredcites →https://doi.org/10.1016/s0010-4825(03)00092-1openalex-snapshot
Neural classification of lung sounds using wavelet coefficients
inferredcites →https://doi.org/10.1109/embc.2014.6943877openalex-snapshot
Directional dual-tree rational-dilation complex wavelet transform
inferredcites →https://doi.org/10.1109/icassp.2009.4959634openalex-snapshot
Classification between normal and abnormal respiratory sounds based on maximum likelihood approach
inferredcites →https://doi.org/10.1109/iembs.2004.1404073openalex-snapshot
On Applying Continuous Wavelet Transform in Wheeze Analysis
inferredcites →https://doi.org/10.1109/iembs.2005.1616029openalex-snapshot
A Multi-Channel Device for Respiratory Sound Data Acquisition and Transient Detection
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/tsp.2009.2020756openalex-snapshot
Frequency-Domain Design of Overcomplete Rational-Dilation Wavelet Transforms
inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot
LIBSVM
inferredcites →https://doi.org/10.1183/09031936.95.08122139openalex-snapshot
Crackles: recording, analysis and clinical significance
inferredcites →https://doi.org/10.1378/chest.88.3.364openalex-snapshot
Lung Sound Analysis for Continuous Evaluation of Airflow Obstruction in Asthma

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.3363485openalex-extracted
A Review of Classification Techniques Based on Neural Networks for Pulmonary Obstructive Diseases
inferred← citeshttps://doi.org/10.1007/978-3-319-71824-8_9openalex-snapshot
Current Techniques for Breath Sound Analysis
inferred← citeshttps://doi.org/10.1007/s10916-019-1354-xopenalex-snapshot
Diagnosis of Delusion and Hallucination from Schizophrenia Patient Using RADWT
inferred← citeshttps://doi.org/10.1016/j.bspc.2018.07.004openalex-snapshot
A robust audio classification system for detecting pulmonary edema
inferred← citeshttps://doi.org/10.1016/j.bspc.2023.105072openalex-snapshot
Non-Invasive antenna sensor based continuous glucose monitoring using pancreas dielectric radiation signal energy levels and machine learning algorithms
inferred← citeshttps://doi.org/10.1109/asid50160.2020.9271758openalex-snapshot
An End-to-end System Based on TDNN for Lung Sound Classification
inferred← citeshttps://doi.org/10.1109/ccwc.2019.8666608openalex-snapshot
Classification Techniques for Diagnosing Respiratory Sounds in Infants and Children
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/embc.2019.8857848openalex-snapshot
Evaluation of Mel-Frequency Cepstrum for Wheeze Analysis
inferred← citeshttps://doi.org/10.1109/fit53504.2021.00033openalex-snapshot
Automatic Classification of Lung Sounds Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1109/icbdaci.2017.8070859openalex-snapshot
Application of signal processing techniques for preliminary detection of adventitious lung sounds in paediatric population using electronic stethoscope
inferred← citeshttps://doi.org/10.1109/tbme.2025.3613489openalex-snapshot
Multi-Stage Respiratory Sound Analysis: Confidence-Driven Wheeze and Crackle Detection
inferred← citeshttps://doi.org/10.1109/tii.2018.2874463openalex-snapshot
Rational-Dilation Wavelet Transform Based Torque Estimation from Acoustic Signals for Fault Diagnosis in a Three-Phase Induction Motor
inferred← citeshttps://doi.org/10.1109/tiptekno50054.2020.9299294openalex-snapshot
Classification of Abnormal Respiratory Sounds Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1371/journal.pone.0177926openalex-snapshot
Automatic adventitious respiratory sound analysis: A systematic review
inferred← citeshttps://doi.org/10.1615/critrevbiomedeng.2018025112openalex-snapshot
Lung and Heart Sounds Analysis: State-of-the-Art and Future Trends
inferred← citeshttps://doi.org/10.20535/2523-4455.2017.22.6.108829openalex-snapshot
Machine learning methods for the study of the lungsounds signals
inferred← citeshttps://doi.org/10.32657/10220/48518openalex-snapshot
An audio classification system for detecting pulmonary edema
inferred← citeshttps://doi.org/10.3389/fmed.2021.714811openalex-snapshot
Abnormal Respiratory Sounds Classification Using Deep CNN Through Artificial Noise Addition
inferred← citeshttps://doi.org/10.48550/arxiv.2012.11759openalex-snapshot
On the effectiveness of signal decomposition, feature extraction and selection on lung sound classification
inferred← citeshttps://doi.org/10.54856/jiswa.201912073openalex-snapshot
The Diagnosis of Asthma using Hilbert-Huang Transform and Deep Learning on Lung Sounds
inferred← citeshttps://doi.org/10.7324/ijcrr.2017.993745openalex-snapshot
Study of Adventitious Lung Sounds of Paediatric Population using Artificial Neural Network Approach
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