Accumulated bispectral image-based respiratory sound signal classification using deep learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-023-02589-w.pdf
Reference26 articles.
1. WHO Coronavirus (COVID-19) Dashboard. https://covid19.who.int/. Accessed 14 Jan 2023
2. Sangle, S., Gaikwad, C.: Covid-19 detection using spectral and statistical features of cough and breath sounds. In: 2021 International Conference on Decision Aid Sciences and Application (DASA) (2021). https://doi.org/10.1109/dasa53625.2021.9682308
3. Deshpande, G., Schuller, B. W.: COVID-19 biomarkers in speech: on source and filter components. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2021). https://doi.org/10.1109/embc46164.2021.9629831
4. Al-khassaweneh, M., Bani Abdelrahman, R.: A signal processing approach for the diagnosis of asthma from cough sounds. J. Med. Eng. Technol. 37(3), 165–171 (2013). https://doi.org/10.3109/03091902.2012.758322
5. Imran, A.: AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app. Inform. Med. Unlocked 20, 100378 (2020). https://doi.org/10.1016/j.imu.2020.100378
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