A study of using cough sounds and deep neural networks for the early detection of Covid-19Cough soundsCOVID-19Deep learningFeaturesSignal processingVoice pathologyThe current clinical diagnosis of COVID-19 requires person-to-person contact, needs variable time to produce results, and is expensive....
For individuals at higher risk of developing active pulmonary TB, such as household contacts, cough detection and longitudinal monitoring could objectively document an increase in TB-compatible symptoms, prompting early care-seeking and limiting transmission. This approach could also help address subclinical...
deep-neural-networksaudio-fileslstm-neural-networkssampling-frequencycoughcoronavirus-trackingcovid-19filter-bankscough-detectionmel-cepstrum-coefficients UpdatedSep 9, 2020 Jupyter Notebook mrzaizai2k/Coughvid-19-CRNN-attention Star6 Code Issues
Recognition of Audio Depression Based on Convolutional Neural Network and Generative Antagonism Network Model 2020, IEEE Access A Comparative Study of Features for Acoustic Cough Detection Using Deep Architectures∗ 2019, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine...
We take the pre-trained networks and use them as a starting point to learn the task of cough detection using transfer learning. 2.6. Validation Leave-One-Subject-Out Cross-Validation (LOSOCV) was applied to evaluate the performance of deep learning models. LOSOCV is commonly used in contexts...
deep learning;convolutional neural networks (CNN);COVID-19 symptoms;autonomous detection of multimodal symptoms;cough and breathing 1. Introduction The COVID-19 pandemic has profoundly impacted global health and society, highlighting the need for continued research and innovative solutions, such as artifi...
Using voluntary cough to detect penetration and aspiration during oropharyngeal swallowing in patients with Parkinson disease. Chest. 2010 138(6):1426–31. Study provides discriminitve ability of cough testing for detection of swallow impairment in patients with PD. Smith Hammond CA, et al. ...
Cough2COVID-19 detection using an enhanced multi layer ensemble deep learning framework and CoughFeatureRanker Article Open access 24 October 2024 DeepBreath—automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries Article Open access 02 June...
The neurons in the ventrolateral medulla that create cough and respiratory patterns interact with neural networks in the cerebellum-rostral interposed nucleus, rostral fastigial nucleus, and infra-cerebellar nucleus. The deep cerebellar nuclei are engaged in neural activities necessary for breathing and co...
However, in all cases, the deep neural networks outperform the shallow classifiers by a clear margin and the Resnet50 offers the best performance, achieving an area under the ROC curve (AUC) exceeding 0.98 and 0.99 for acceleration and audio signals respectively. While audio-based classification ...