БІСПЕКТРАЛЬНА ФІЛЬТРАЦІЯ ЕКГ СИГНАЛІВ
DOI:
https://doi.org/10.30888/2663-5712.2025-33-02-079Ключові слова:
ЕКГ сигнал, біспектр, біспектральна обробка сигналів, нелінійна фільтраціяАнотація
Через наявність у ЕКГ сигналі багатого числа завадових компонент, використовують передові алгоритми виділення корисного сигналу на тлі завад. Існуючі методи мають ряд проблем при їх використанні. Наприклад, методи на основі фільтру Калмана не є адаптивниПосилання
Jaros, R., Barnova, K., Vilimkova Kahankova, R., Pelisek, J., Litschmannova, M., & Martinek, R. (2023). Independent component analysis algorithms for non-invasive fetal electrocardiography. PLOS ONE, 18(6), e0286858.
DOI: https://doi.org/10.1371/journal.pone.0286858
Sarafan, S., Le, T., Lau, M. P. H., Hameed, A., Ghirmai, T., & Cao, H. (2022). Fetal Electrocardiogram Extraction from the Mother’s Abdominal Signal Using the Ensemble Kalman Filter. Sensors, 22(7), 2788.
DOI: https://doi.org/10.3390/s22072788
Jaros, R., Martinek, R., Kahankova, R., & Koziorek, J. (2019). Novel Hybrid Extraction Systems for Fetal Heart Rate Variability Monitoring Based on Non-Invasive Fetal Electrocardiogram. IEEE Access, 7, 131758–131784.
DOI: https://doi.org/10.1109/access.2019.2933717
Barnova, K., Martinek, R., Jaros, R., Kahankova, R., Matonia, A., Jezewski, M., Czabanski, R., Horoba, K., & Jezewski, J. (2021). A novel algorithm based on ensemble empirical mode decomposition for non-invasive fetal ECG extraction. PLOS ONE, 16(8), e0256154.
DOI: https://doi.org/10.1371/journal.pone.0256154
Cardenas-Lattus, J., & Kaschel, H. (2017). Fetal ECG multi-level analysis using daubechies wavelet transform for non-invasive maternal abdominal ECG recordings. У 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON). IEEE.
DOI: https://doi.org/10.1109/chilecon.2017.8229511
P, G., KK, S., & SD, J. (2018). Fetal heart rate extraction from abdominal electrocardiograms through multivariate empirical mode decomposition. International Journal of Cardiovascular Research, 07.
DOI: https://doi.org/10.4172/2324-8602-c4-014
Hasan, M. A., Reaz, M. B. I., & Ibrahimy, M. I. (2011). Fetal electrocardiogram extraction and R-peak detection for fetal heart rate monitoring using artificial neural network and Correlation. У 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose). IEEE.
DOI: https://doi.org/10.1109/ijcnn.2011.6033193
Preethi, D., & Valarmathi, R. S. (2018). An Analysis of FIR Filter Algorithms in Fetal Heart Rate Monitoring. У 2018 International Conference on Advances in Communication and Computing Technology (ICACCT). IEEE.
DOI: https://doi.org/10.1109/icacct.2018.8529574
Bandi, S., & Dutt, V. B. S. S. I. (2023). Single-channel fetal ECG extraction method based on extended Kalman filtering with singular value decomposition algorithm. Soft Computing.
DOI: https://doi.org/10.1007/s00500-023-08421-4
BAŞPINAR, U., & KÖYLÜ, Y. (2023). DETECTION OF FETAL ELECTROCARDIOGRAM SIGNALS FROM MATERNAL ABDOMINAL ECG RECORDINGS. Journal of Scientific Reports-A, (052), 266–278.
DOI: https://doi.org/10.59313/jsr-a.1173530
Sameni, R., Jutten, C., & Shamsollahi, M. B. (2006). What ICA Provides for ECG Processing: Application to Noninvasive Fetal ECG Extraction. У 2006 IEEE International Symposium on Signal Processing and Information Technology. IEEE.
DOI: https://doi.org/10.1109/isspit.2006.270882
BAŞPINAR, U., & KÖYLÜ, Y. (2023). DETECTION OF FETAL ELECTROCARDIOGRAM SIGNALS FROM MATERNAL ABDOMINAL ECG RECORDINGS. Journal of Scientific Reports-A, (052), 266–278.
DOI: https://doi.org/10.59313/jsr-a.1173530
Behar, J. (2014). Extraction of clinical information from the non-invasive fetal electrocardiogram [Thesis, University of Oxford].
http://ora.ox.ac.uk/objects/uuid:94b866ff-dd57-4446-85ae-79dd6d983cac
Andreotti, F. Maternal signal estimation by Kalman filtering and Template Adaptation for fetal heart rate extraction. Computing in Cardiology 2013, Zaragoza, Spain, 2013, pp. 193-196.
Andreotti, F., Riedl, M., Himmelsbach, T., Wedekind, D., Wessel, N., Stepan, H., Schmieder, C., Jank, A., Malberg, H., & Zaunseder, S. (2014). Robust fetal ECG extraction and detection from abdominal leads. Physiological Measurement, 35(8), 1551–1567.
DOI: https://doi.org/10.1088/0967-3334/35/8/1551
Ravindrakumar, S., & Raja, K. B. (2010). Fetal ECG extraction and enhancement in prenatal monitoring — Review and implementation issues. У Computing (TISC). IEEE.
DOI: https://doi.org/10.1109/tisc.2010.5714599
Zarzoso, V., Millet-Roig, J., & Nandi, A. K. (2000). Fetal ECG extraction from maternal skin electrodes using blind source separation and adaptive noise cancellation techniques. У Computers in Cardiology 20000. Vol.27. IEEE.
DOI: https://doi.org/10.1109/cic.2000.898549
Martinek, R., Kahankova, R., Jezewski, J., Jaros, R., Mohylova, J., Fajkus, M., Nedoma, J., Janku, P., & Nazeran, H. (2018). Comparative Effectiveness of ICA and PCA in Extraction of Fetal ECG From Abdominal Signals: Toward Non-invasive Fetal Monitoring. Frontiers in Physiology, 9.
DOI: https://doi.org/10.3389/fphys.2018.00648
Sameni, R., Jutten, C., & Shamsollahi, M. B. (2010). A Deflation Procedure for Subspace Decomposition. IEEE Transactions on Signal Processing, 58(4), 2363–2374.
DOI: https://doi.org/10.1109/tsp.2009.2037353
Kharabian, S., Shamsollahi, M. B., & Sameni, R. (2009). Fetal R-wave detection from multichannel abdominal ECG recordings in low SNR. У 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE.
DOI: https://doi.org/10.1109/iembs.2009.5333578
Kumar, P., Sharma, S. K., & Prasad, S. (2016). CAD for the Detection of Fetal Electrocardiogram through Neuro-Fuzzy Logic and Wavelets Systems for Telemetry. У 2016 Second International Conference on Computational Intelligence & Communication Technology (CICT). IEEE.
DOI: https://doi.org/10.1109/cict.2016.122
Martinek, R., Kahankova, R., Nedoma, J., Fajkus, M., & Cholevova, K. (2018). Fetal ECG Preprocessing Using Wavelet Transform. У the 10th International Conference. ACM Press.
DOI: https://doi.org/10.1145/3177457.3177503
Sameni, R. OSET: The open-source electrophysiological toolbox. Version 3.14. (2025). OSET.
Totsky, A. V., Zelensky, A. A., & Kravchenko, V. F. (2014). Bispectral Methods of Signal Processing: Applications in Radar, Telecommunications and Digital Image Restoration. de Gruyter GmbH, Walter.
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