Can Machine Learning Be Used to Recognize and Diagnose Coughs?
@article{Bales2020CanML, title={Can Machine Learning Be Used to Recognize and Diagnose Coughs?}, author={Charles Bales and Charles N. John and Hasan Farooq and Usama Masood and Muhammad Nabeel and Ali Shariq Imran}, journal={2020 International Conference on e-Health and Bioengineering (EHB)}, year={2020}, pages={1-4} }
Emerging wireless technologies, such as 5G and beyond, are bringing new use cases to the forefront, one of the most prominent being machine learning empowered health care. One of the notable modern medical concerns that impose an immense worldwide health burden are respiratory infections. Since cough is an essential symptom of many respiratory infections, an automated system to screen for respiratory diseases based on raw cough data would have a multitude of beneficial research and medical…Â
33 Citations
Cough Audio Analysis for COVID-19 Diagnosis
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Results show that Multilayer Perceptron was able to distinguish between positive and negative COVID-19 coughs by a robust feature embedding technique, which is scalable and less time consuming.
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A hybrid quantum neural network (QNN) model for COVID-19 cough classification is developed and the design of the QNN simulation architecture is described and results are given with and without quantum noise.
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- Computer Science2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
- 2022
A precise cough identification and monitoring system utilising a convolutional neural network as a feature extraction algorithm and classification system, suggesting that this can be a successful cough detection method for future medical applications and devices, such as potential respiratory system condition diagnostic tool.
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- Computer ScienceArXiv
- 2022
A novel deep learning approach is introduced to distinguish patients with COVID-19 from healthy controls given audio recordings of cough or breathing sounds, and it is shown that HST outperforms competing methods, achieving over 97% area under the receiver operating characteristic curve (AUC) in detecting CO VID-19 cases.
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- MedicineCommunications Medicine
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An overview of recent advances in acoustic epidemiology is presented and how cough assessment, if validated, could support public health programs at various stages of the TB care cascade is described.
Changes in Cough Airflow and Acoustics After Injection Laryngoplasty
- MedicineThe Laryngoscope
- 2022
We explored the following hypotheses in a cohort of patients undergoing injection laryngoplasty: (1) glottic insufficiency affects voluntary cough airflow dynamics and restoring glottic competence…
Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough
- Computer ScienceIeee Journal of Selected Topics in Signal Processing
- 2022
A machine learning method is proposed to quickly detect COVID-19 using audio recordings made on consumer devices that combines signal processing and noise removal methods with an ensemble of fine-tuned deep learning networks and enables COVID detection on coughs.
Past and Trends in Cough Sound Acquisition, Automatic Detection and Automatic Classification: A Comparative Review
- Computer ScienceSensors
- 2022
The field of cough sound acquisition, automatic detection in longer audio sequences and automatic classification of the nature or disease shows a remarkable dynamic, boosted by the research on COVID-19 diagnosis, and a perfect adaptation to mobile health.
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