AIMC Topic: Cough

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Deep Neural Networks for Identifying Cough Sounds.

IEEE transactions on biomedical circuits and systems Sep 16, 2016
In this paper, we consider two different approaches of using deep neural networks for cough detection. The cough detection task is cast as a visual recognition problem and as a sequence-to-sequence labeling problem. A convolutional neural network and...
Sound Spectrography Pattern Recognition, Automated Auscultation Sensitivity and Specificity Diagnosis, Computer-Assisted Cough Algorithms Reproducibility of Results Humans Neural Networks, Computer
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Cough event classification by pretrained deep neural network.

BMC medical informatics and decision making Nov 25, 2015
BACKGROUND: Cough is an essential symptom in respiratory diseases. In the measurement of cough severity, an accurate and objective cough monitor is expected by respiratory disease society. This paper aims to introduce a better performed algorithm, pr...
Algorithms Humans Cough Normal Distribution Neural Networks, Computer Severity of Illness Index Datasets as Topic Models, Statistical
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Pathology Image of the Month:Cough and Shortness of Breath in a Noncompliant Patient with HIV/AIDS.

The Journal of the Louisiana State Medical Society : official organ of the Louisiana State Medical Society Aug 15, 2015
A 37- year-old man with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) was admitted to the intensive care unit following a four month history of progressive shortness of breath, productive cough, and flu-like symptoms. His...
Cough Bronchoalveolar Lavage Male Humans Fatal Outcome Medication Adherence Adult Medical Illustration Dyspnea Acquired Immunodeficiency Syndrome
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Wet and dry cough classification using cough sound characteristics and machine learning: A systematic review.

International journal of medical informatics Jul 1, 2025
BACKGROUND: Distinguishing between productive (wet) and non-productive (dry) cough types is important for evaluating respiratory health, assisting in differential diagnosis, and monitoring disease progression. However, assessing cough type through th...
Algorithms Cough Sound Humans Machine Learning
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Automatic cough detection via a multi-sensor smart garment using machine learning.

Computers in biology and medicine Jun 1, 2025
Coughing behavior is associated with conditions such as sleep apnea, asthma, and chronic obstructive pulmonary disorder and can severely affect quality of life in those affected. In this context, coughing quantification is often important, but routin...
Male Wearable Electronic Devices Cough Young Adult Adult Signal Processing, Computer-Assisted Machine Learning Humans Female
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Cough-DL: A Deep Learning Model for Ear-Worn Cough Detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Cough serves as a crucial bio-marker for evaluation and monitoring of pulmonary conditions. With growing interest towards automatic cough detection systems, it's important to acknowledge the existing hurdles on the way for a robust cough counter. The...
Cough Signal Processing, Computer-Assisted Wearable Electronic Devices Monitoring, Ambulatory Sound Spectrography Humans Deep Learning
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Cough Classification of Unknown Emerging Respiratory Disease with Federated Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Artificial intelligence offers great potential to address the need for rapid diagnostic testing in pandemic scenarios. Concerns about security and privacy, however, complicate the collection of large representative medical data. Federated Learning (F...
SARS-CoV-2 Cough Federated Learning Pandemics COVID-19 Algorithms Artificial Intelligence Machine Learning Humans
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Cough Sound Based Deep Learning Models for Diagnosis of COVID-19 Using Statistical Features and Time-Frequency Spectrum.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This paper presents a deep learning model that can classify COVID-19 patients through cough sounds. The cough sound data were selected from the Cambridge data set which is a crowedsourced data set collected from the Cambridge COVID-19 sounds applicat...
ROC Curve Cough Sound Spectrography SARS-CoV-2 Deep Learning Humans COVID-19
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Audio Cough Analysis by Parametric Modelling of Weighted Spectrograms to Interpret the Output of Convolutional Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This study explores the feasibility of employing eXplainable Artificial Intelligence (XAI) methodologies for the analysis of cough patterns in respiratory diseases. A cohort of 20 adult patients, all presenting persistent cough as a symptom of respir...
Female Aged Adult Humans Neural Networks, Computer Signal Processing, Computer-Assisted Sound Spectrography Middle Aged Convolutional Neural Networks Pulmonary Disease, Chronic Obstructive Cough Male
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Google AI could soon use a person's cough to diagnose disease.

Nature Apr 1, 2024
Humans Machine Learning Tuberculosis COVID-19 Cough
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