An ensemble-based transfer learning model for predicting the imbalance heart sound signal using spectrogram images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17186-9.pdf
Reference47 articles.
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3. Martinez-Alajarin J, Ruiz-Merino R (2005) Efficient method for events detection in phonocardiographic signals. Bioeng Bioinspired Syst II, vol 5839, p 398. https://doi.org/10.1117/12.608203. October 2014
4. Hamidi M, Ghassemian H, Imani M (2018) Classification of heart sound signal using curve fitting and fractal dimension. Biomed Signal Process Control 39:351–359. https://doi.org/10.1016/j.bspc.2017.08.002
5. Zhou X, Liang W, Wang KIK, Wang H, Yang LT, Jin Q (2020) Deep-learning-enhanced human activity recognition for internet of healthcare things. IEEE Internet Things J 7(7):6429–6438. https://doi.org/10.1109/JIOT.2020.2985082
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1. Heart sound classification method using gammatonegram and SVM;Multimedia Tools and Applications;2024-08-20
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