AIMC Topic: Respiratory Sounds

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Lung Sound Recognition Method Based on Wavelet Feature Enhancement and Time-Frequency Synchronous Modeling.

IEEE journal of biomedical and health informatics Jan 4, 2023
Lung diseases are serious threats to human health and life, therefore, an accurate diagnosis of lung diseases is significant. The use of artificial intelligence to analyze lung sounds can aid in diagnosing lung diseases. Most of the existing lung sou...
Humans Lung Diseases Wavelet Analysis Respiratory Sounds Artificial Intelligence Algorithms
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An accurate deep learning model for wheezing in children using real world data.

Scientific reports Dec 28, 2022
Auscultation is an important diagnostic method for lung diseases. However, it is a subjective modality and requires a high degree of expertise. To overcome this constraint, artificial intelligence models are being developed. However, these models req...
Humans Child Respiratory Sounds Prospective Studies Neural Networks, Computer Deep Learning Artificial Intelligence
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Considerations and Challenges for Real-World Deployment of an Acoustic-Based COVID-19 Screening System.

Sensors (Basel, Switzerland) Dec 6, 2022
Coronavirus disease 2019 (COVID-19) has led to countless deaths and widespread global disruptions. Acoustic-based artificial intelligence (AI) tools could provide a simple, scalable, and prompt method to screen for COVID-19 using easily acquirable ph...
Respiratory Sounds Acoustics Sound Humans Artificial Intelligence COVID-19
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Design and development of hybrid optimization enabled deep learning model for COVID-19 detection with comparative analysis with DCNN, BIAT-GRU, XGBoost.

Computers in biology and medicine Oct 3, 2022
The recent investigation has started for evaluating the human respiratory sounds, like voice recorded, cough, and breathing from hospital confirmed Covid-19 tools, which differs from healthy person's sound. The cough-based detection of Covid-19 also ...
SARS-CoV-2 Animals Humans COVID-19 Respiratory Sounds Mustelidae Deep Learning Cough
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Exploring machine learning for audio-based respiratory condition screening: A concise review of databases, methods, and open issues.

Experimental biology and medicine (Maywood, N.J.) Aug 16, 2022
Auscultation plays an important role in the clinic, and the research community has been exploring machine learning (ML) to enable remote and automatic auscultation for respiratory condition screening via sounds. To give the big picture of what is goi...
Machine Learning COVID-19 Auscultation Respiratory Sounds Humans Artificial Intelligence
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A temporal dependency feature in lower dimension for lung sound signal classification.

Scientific reports May 12, 2022
Respiratory sounds are expressed as nonlinear and nonstationary signals, whose unpredictability makes it difficult to extract significant features for classification. Static cepstral coefficients such as Mel-frequency cepstral coefficients (MFCCs), h...
Support Vector Machine Respiratory Sounds Humans Machine Learning Neural Networks, Computer Algorithms
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Diagnosis of COVID-19 via acoustic analysis and artificial intelligence by monitoring breath sounds on smartphones.

Journal of biomedical informatics Apr 27, 2022
Scientific evidence shows that acoustic analysis could be an indicator for diagnosing COVID-19. From analyzing recorded breath sounds on smartphones, it is discovered that patients with COVID-19 have different patterns in both the time domain and fre...
Smartphone Acoustics Respiratory Sounds Artificial Intelligence COVID-19 Humans Neural Networks, Computer
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Extraction of low-dimensional features for single-channel common lung sound classification.

Medical & biological engineering & computing Apr 4, 2022
In this study, feature extraction methods used in the classification of single-channel lung sounds obtained by automatic identification of respiratory cycles were examined in detail in order to extract distinctive features at the lowest size. In this...
Humans Respiratory Sounds Bayes Theorem Algorithms Discriminant Analysis Support Vector Machine
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Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning.

Scientific reports Aug 25, 2021
Auscultation has been essential part of the physical examination; this is non-invasive, real-time, and very informative. Detection of abnormal respiratory sounds with a stethoscope is important in diagnosing respiratory diseases and providing first a...
Pulmonary Medicine Male Auscultation Middle Aged Aged Respiratory Sounds Humans Sensitivity and Specificity Female Deep Learning Respiratory Tract Diseases
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CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection.

IEEE journal of biomedical and health informatics Aug 5, 2021
This paper presents and explores a robust deep learning framework for auscultation analysis. This aims to classify anomalies in respiratory cycles and detect diseases, from respiratory sound recordings. The framework begins with front-end feature ext...
Humans Lung Diseases Neural Networks, Computer Auscultation Lung Respiratory Sounds
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