Covid-19 Detection using Spectral and Statistical Features of Cough and Breath Sounds

Author:

Sangle Sandeep,Gaikwad Chandrakant

Publisher

IEEE

Reference21 articles.

1. AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app

2. COVID-19 cough classification using machine learning and global smartphone recordings

3. COVID-19 Detection in Cough, Breath and Speech using Deep Transfer Learning and Bottleneck Features;pahar;ArXiv Preprint,2021

4. Pay attention to the cough: Early di-agnosis of COVID-19 using interpretable symptoms embed-dings with cough soundsignal processing;pal;Proceedings of the 36th Annual ACM Symposium on AppliedComputing,0

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1. COVID-19 Respiratory Sound Signal Detection Using HOS-Based Linear Frequency Cepstral Coefficients and Deep Learning;Circuits, Systems, and Signal Processing;2023-08-20

2. Accumulated bispectral image-based respiratory sound signal classification using deep learning;Signal, Image and Video Processing;2023-05-05

3. A state-of-art Covid-19 major symptoms detection using IoT enabled wearable medical sensors;IV INTERNATIONAL SCIENTIFIC FORUM ON COMPUTER AND ENERGY SCIENCES (WFCES II 2022);2023

4. The Use of Audio Signals for Detecting COVID-19: A Systematic Review;Sensors;2022-10-23

5. Dry and Wet Cough Detection using Fusion of Cepstral base Statistical Features;2022 International Conference on Decision Aid Sciences and Applications (DASA);2022-03-23

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