AIMC Topic: Respiratory Sounds

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Unwrapping the phase portrait features of adventitious crackle for auscultation and classification: a machine learning approach.

Journal of biological physics Apr 27, 2021
The paper delves into the plausibility of applying fractal, spectral, and nonlinear time series analyses for lung auscultation. The thirty-five sound signals of bronchial (BB) and pulmonary crackle (PC) analysed by fast Fourier transform and wavelet ...
Humans Signal Processing, Computer-Assisted Fourier Analysis Auscultation Respiratory Sounds Machine Learning COVID-19 Principal Component Analysis
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Artificial intelligence accuracy in detecting pathological breath sounds in children using digital stethoscopes.

Respiratory research Sep 29, 2020
BACKGROUND: Manual auscultation to detect abnormal breath sounds has poor inter-observer reliability. Digital stethoscopes with artificial intelligence (AI) could improve reliable detection of these sounds. We aimed to independently test the abilitie...
Auscultation Respiratory Sounds Child, Preschool Child Stethoscopes Humans Reproducibility of Results Male Artificial Intelligence Female
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Multi-channel lung sound classification with convolutional recurrent neural networks.

Computers in biology and medicine May 23, 2020
In this paper, we present an approach for multi-channel lung sound classification, exploiting spectral, temporal and spatial information. In particular, we propose a frame-wise classification framework to process full breathing cycles of multi-channe...
Respiration Respiratory Sounds Humans Neural Networks, Computer Lung
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Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning.

IEEE transactions on biomedical circuits and systems Mar 18, 2020
The primary objective of this paper is to build classification models and strategies to identify breathing sound anomalies (wheeze, crackle) for automated diagnosis of respiratory and pulmonary diseases. In this work we propose a deep CNN-RNN model t...
Humans Neural Networks, Computer Signal Processing, Computer-Assisted Patient-Specific Modeling Respiratory Sounds
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Scalogram based prediction model for respiratory disorders using optimized convolutional neural networks.

Artificial intelligence in medicine Jan 20, 2020
Auscultation of the lung is a conventional technique used for diagnosing chronic obstructive pulmonary diseases (COPDs) and lower respiratory infections and disorders in patients. In most of the earlier works, wavelet transforms or spectrograms have ...
Humans Wavelet Analysis Respiratory Sounds Neural Networks, Computer Sensitivity and Specificity Lung
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A modern approach to identifying and characterizing child asthma and wheeze phenotypes based on clinical data.

PloS one Dec 30, 2019
'Asthma' is a complex disease that encapsulates a heterogeneous group of phenotypes and endotypes. Research to understand these phenotypes has previously been based on longitudinal wheeze patterns or hypothesis-driven observational criteria. The aim ...
Respiratory Sounds Risk Factors Twins Diseases in Twins Asthma Male Eosinophils Medical History Taking Child Leukocyte Count Regression Analysis Severity of Illness Index Adolescent Biomarkers Female Sweden Humans Machine Learning Data Analysis
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Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm.

Journal of medical systems Jun 28, 2019
This article investigates the classification of normal and COPD subjects on the basis of respiratory sound analysis using machine learning techniques. Thirty COPD and 25 healthy subject data are recorded. Total of 39 lung sound features and 3 spirome...
Vital Capacity Respiratory Sounds Support Vector Machine Forced Expiratory Volume Spirometry Algorithms Female Pulmonary Disease, Chronic Obstructive Risk Assessment Logistic Models Sensitivity and Specificity Male Humans Machine Learning
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Automatic Multi-Level In-Exhale Segmentation and Enhanced Generalized S-Transform for wheezing detection.

Computer methods and programs in biomedicine Jun 26, 2019
BACKGROUND AND OBJECTIVE: Wheezing is a common symptom of patients caused by asthma and chronic obstructive pulmonary diseases. Wheezing detection identifies wheezing lung sounds and helps physicians in diagnosis, monitoring, and treatment of pulmona...
Respiratory Sounds Medical Informatics Pattern Recognition, Automated False Positive Reactions Humans Machine Learning Male Reproducibility of Results Telemedicine Support Vector Machine Artifacts Adult Monitoring, Physiologic Models, Statistical Sensitivity and Specificity Software Signal Processing, Computer-Assisted Algorithms Female
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Practical implementation of artificial intelligence algorithms in pulmonary auscultation examination.

European journal of pediatrics Mar 29, 2019
Lung auscultation is an important part of a physical examination. However, its biggest drawback is its subjectivity. The results depend on the experience and ability of the doctor to perceive and distinguish pathologies in sounds heard via a stethosc...
Child, Preschool Child Stethoscopes Auscultation Respiratory Sounds Algorithms Infant Adolescent Humans Neural Networks, Computer Machine Learning
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A Lung Sound Category Recognition Method Based on Wavelet Decomposition and BP Neural Network.

International journal of biological sciences Jan 1, 2019
In this paper, a method of characteristic extraction and recognition on lung sounds is given. Wavelet de-noised method is adopted to reduce noise of collected lung sounds and extract wavelet characteristic coefficients of the de-noised lung sounds by...
Wavelet Analysis Respiratory Sounds Lung Humans Discriminant Analysis Neural Networks, Computer Algorithms
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