An Ensemble Empirical Mode Decomposition Based Method for Fetal Phonocardiogram Enhancement
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Springer Singapore
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http://link.springer.com/content/pdf/10.1007/978-981-10-9038-7_73
Reference13 articles.
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3. Mittra, A.K., Choudhary, N.K., Zadgaonkar, A.S.: Development of an artificial womb for acoustical simulation of mother’s abdomen. International Journal of Biomedical Engineering and Technology 1(3), 315–328 (2008). https://doi.org/10.1504/ijbet.2008.016964 . https://www.inderscienceonline.com/doi/abs/10.1504/IJBET.2008.016964
4. Chetlur Adithya, P., Sankar, R., Moreno, W.A., Hart, S.: Trends in fetal monitoring through phonocardiography: Challenges and future directions. Biomedical Signal Processing and Control 33, 289–305 (2017). https://doi.org/10.1016/j.bspc.2016.11.007
5. Jabloun, M., Ravier, P., Buttelli, O., Lédée, R., Harba, R., Nguyen, L.D.: A generating model of realistic synthetic heart sounds for performance assessment of phonocardiogram processing algorithms. Biomedical Signal Processing and Control 8(5), 455–465 (2013). https://doi.org/10.1016/j.bspc.2013.01.002
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1. Fetal Monitoring: Multi-Channel Fetal ECG Denoising Based on Artificial Intelligence Approach;2023 46th MIPRO ICT and Electronics Convention (MIPRO);2023-05-22
2. Can empirical mode decomposition improve heartbeat detection in fetal phonocardiography signals?;Computer Methods and Programs in Biomedicine;2021-05
3. Passive Fetal Monitoring by Advanced Signal Processing Methods in Fetal Phonocardiography;IEEE Access;2020
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