Time series and mel frequency analyses of wet and dry cough signals: A neural net classification
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DOI: 10.1016/j.physa.2023.129039
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- Ahlstrom, C. & Johansson, A. & Hult, P. & Ask, P., 2006. "Chaotic dynamics of respiratory sounds," Chaos, Solitons & Fractals, Elsevier, vol. 29(5), pages 1054-1062.
- Christopher M. Evans & Dorota S. Raclawska & Fani Ttofali & Deborah R. Liptzin & Ashley A. Fletcher & Daniel N. Harper & Maggie A. McGing & Melissa M. McElwee & Olatunji W. Williams & Elizabeth Sanche, 2015. "The polymeric mucin Muc5ac is required for allergic airway hyperreactivity," Nature Communications, Nature, vol. 6(1), pages 1-11, May.
- Raj, Vimal & Renjini, A. & Swapna, M.S. & Sreejyothi, S. & Sankararaman, S., 2020. "Nonlinear time series and principal component analyses: Potential diagnostic tools for COVID-19 auscultation," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
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Keywords
Wet cough; Dry cough; Phase portrait; Mel coefficients; Fractal dimension; Neural network;All these keywords.
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