A brief analysis of the use of non-linear time-frequency filtering for processing ECG signals
Автор: Altay Yeldos A., Kremlev Artem S.
Журнал: Cardiometry @cardiometry
Рубрика: Short report
Статья в выпуске: 13, 2018 года.
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Some current trends of the use of non-linear time-frequency filtering approach to ECG signal processing are discussed herein. A brief review of an application potentiality of non-linear filtration is offered for long-term ECG signal processing. Possible problems of long-term monitoring, related to measurements interference and noise of ECG signal, are revealed. To eliminate the revealed problems, in further research, an implementation of a processing system using the non-linear-threshold time-frequency filtering method is planned. It is expected to improve an accuracy of cardiac data processing considering features of interference and measurement noise of different intensity
Ecg signal, physiological noise, time-frequency filtering, threshold filtering, empirical modes
Короткий адрес: https://sciup.org/148308860
ID: 148308860 | DOI: 10.12710/cardiometry.2018.13.9698
Список литературы A brief analysis of the use of non-linear time-frequency filtering for processing ECG signals
- Bodin ON, Krivonogov LJu, Lomtev EA. Anti-interference electrocardiosignals processing in a non-invasive cardiac diagnostics. Almaty: LEM.; 2016.
- Krivonogov LJu, Altay EA, Bodin ON. Noise-resistance processing electrocardiosignals in a free activity. Vestnik aritmologii. 2016;228.
- Hodkinson EC, Neijts M, Sadrieh A, et al. Heritability of ECG Biomarkers in the Netherlands Twin Registry Measured from Holter ECGs. Frontiers in Physiology. 2016(7):1-9 DOI: 10.3389/fphys.2016.00154
- Baranovskij AL, Nemirko AP, Kalinichenko AN. Kardiomonitory. Apparatura nepreryvnogo kontrolja JeKG. Moscow: Radio i svjaz'; 1993.
- Rangajjan RM. Analysis of biomedical signals. Moscow: Fizmatlit.; 2010.
- Nemirko AP, Manilo LA, Kalinichenko AN. Mathematical analysis of biomedical signals and data. Moscow: Fizmatlit.; 2017.
- Makarov LM, Komolyatova VN, Pervova EV, et al. National Russian guidelines on application of the methods of Holter monitoring in clinical practice. Russian Journal of Cardiology. 2014 (2):6-71.
- Ustimenko VO, Klochko EA, Bidun AV. Improving the quality of electrocardiac signal filtration using the Wiener and Chebyshev filter. Radiojelektronika i radiojelektronnoe apparatostroenie. 2017(2):1-8.
- Sorokin SV, Shherbakov MA. Comparative analysis of the nonlinear filtering techniques of signals and images. "Nadezhnost' i kachestvo" International symposium; Penza State University, Penza, Russia; 2006.
- Bodin ON, Krivonogov LJu, Tychkov AJu. Method of adaptive suppression of noise in electrocardiosignal. Patent RF No.2486862. Bjul. 2013. No.19.
- Han G, Lin B, Xu Z. Electrocardiogram signal denoising based on empirical mode decomposition technique: an overview. Journal of Instrumentation. 2017(3):1-19 DOI: 10.1088/1748-0221/12/03/P03010
- Han G, Xu Z. Electrocardiogram signal denoising based on a new improved wavelet thresholding. Review of Sci. Instr. 2016(8):1-7 DOI: 10.1063/1.4960411
- Oussama EB, Rachid L, Khalifa E, Abdenbi A, Wissam J. ECG signal performance de-noising assessment based on threshold tuning of dual-tree wavelet transform. Biomedical engineering online. 2017(1):1-18 DOI: 10.1186/s12938-017-0315-1