ECG Signal Denoising by Cross-Bispectrum Data Processing
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61415-6_50
Reference30 articles.
1. Viunytskyi, O., Shulgin, V., Totsky, A., Egiazarian, K., Polotska, O.: Recognition of premature births by bispectrum-based abdominal electromyography signal processing. Telecommun. Radio Eng. USA 78(1), 59–69 (2019). https://doi.org/10.1615/TelecomRadEng.v78.i1.70
2. Jaroš, R., Barnova, K., Kahánková, R., Pelisek, J., Litschmannová, M., Martínek, R.: Independent component analysis algorithms for non-invasive fetal electrocardiography. PLoS ONE 18(6), e0286858 (2023). https://doi.org/10.1371/journal.pone.0286858
3. Viunytskyi, O.G., Shulgin, V.I., Roienko, A.A., Totsky, A.V., Eguiazarian, K.O.: Fetal ECG extraction from the abdominal signal using wavelet bispectrum technique. Telecommun. Radio Eng. USA 82(9), 29–46 (2023). https://doi.org/10.1615/TelecomRadEng.2023047588
4. Sarafan, S., Le, T., Lau, M.P.H., Hameed, A., Ghirmai, T., Cao, H.: Fetal electrocardiogram extraction from the mother’s abdominal signal using the ensemble Kalman filter. Sensors 22(7), 2788 (2022). https://doi.org/10.3390/s22072788
5. Jaros, R., Martinek, R., Kahankova, R., Koziorek, J.: Novel hybrid extraction systems for fetal heart rate variability monitoring based on non-invasive fetal electrocardiogram. IEEE Access 7, 131758–131784 (2019). https://doi.org/10.1109/access.2019.2933717
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