Recent Advances in Non-invasive Processing Schemes on Electrocardiogram (ECG): a Review

Xin Gao


Non-invasive processing schemes on electrocardiogram (ECG) especially fetal ECG, represent technical advantages such as cohesive monitoring, explicit signaling and imaging, free of uterus infection comparing to traditional invasive methods. We concisely summarize the recent progress of methods in non-invasive detection and compression on ECG, then categorize the crucial sample datasets and major types of experimental design in the review sections. Algorithms and implementation of test platform on compression of ECG data and fetal health monitoring in practical systems design are simultaneously studied therein. Our study specifies that recent advances in this area lie in sparse representation, variable filtering techniques, multi-resolution feature extraction and a few other joint schemes. We also sketch a framework of portable system design on fetal ECG monitoring with specific choice on the elements of hardware configuration in the discussion section.


Non-invasive processing; detection; compression; electrocardiogram (ECG)

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Kropfl M, Modre-Osprian R, Schreier G, Hayn D. A robust algorithm for fetal QRS detection using non-invasive maternal abdominal ECGs. Comput. in Cardiology. 2013; 40: 313-316.

Silva I, Behar J, Sameni R, Zhu TT, Oster J, Clifford GD, Moody GB. Noninvasive fetal ECG: the PhysioNet/computing in cardiology challenge 2013. IEEE Conf. Comput. Cardiology (CinC). 2013; 149-152.

Behar J, Oster J, Clifford GD. Non-invasive FECG extraction from a set of abdominal sensors. IEEE Conf. Comput. Cardiology (CinC). 2013; 197-200.

Kumar P, Sharma PK, Prasad S. Detection of FECG from multivariate abdominal recordings using wavelets and neuro-fuzzy systems. Int’l J. Eng. Adv. Technol. Studies, 2013; 2(1): 45-51.

Behar J, Johnson A, Clifford GD. Oster J. A comparison of single channel fetal ECG extraction methods. Annals Biomed. Eng. 2014; 42(6): 1340-1353.

Clifford GD, Silva I, Behar J, Moody GB. Non-invasive fetal ECG analysis. Physio. Measure. 2014; 35(8): 1521-1536.

Andreotti F, Riedl M, Himmelsbach T, Wedekind D, Wessel N, Stepan H, Schmieder C, Jank A, Malberg H, Zaunseder S. Robust fetal ECG extraction and detection from abdominal leads. Physio. Measure. 2014; 35(8): 1551-1568.

Melillo P, Santoro D, Vadursi M. Detection and compensation of inter-channel time offsets in indirect fetal ECG sensing. IEEE Sen. J. 2014; 14(7): 2327-2334.

Zheng W, Wei XY, Zhong JJ, Liu HX. Fetal heart beat detection by Hilbert transform and non-linear state-space projections. IET Sci., Measure. Technol. 2015; 9(1): 85-92.

Panigrahy D, Sahu PK. Extraction of fetal electrocardiogram (ECG) by extended state Kalman filtering and adaptive neuro-fuzzy inference system (ANFIS) based on single channel abdominal recording. Sadhana, 2015; 40(4): 1091-1104.

Zheng W, Li XL, Wei XY, Liu HX. Foetal ECG extraction by support vector regression. Electron. Lett. 2016; 52(7): 506-507.

Selvaraj R, Kanagaraj B. A multi-stage adaptive singular value decomposition approach for fetal ECG signal extraction in multichannel input system for prenatal health monitoring. Asian J. Inf. Technol. 2016; 15(6): 1049-1055.

Poian GD, Bernardini R, Rinaldo R. Separation and analysis of fetal-ECG signals from compressed sensed abdominal ECG recordings. IEEE Trans. Biomed. Eng. 2016; 63(6): 1269-1279.

Rooijakkers MJ, Rabotti C, de Lau H, Oei SG, Bergmans JWM, Mischi M. Feasibility study of a new method for low-complexity fetal movement detection from abdominal ECG recordings. IEEE J. Biomed. Health Informatics, 2016; 20(5): 1361-1368.

Tadi MJ, Lehtonen E, Hurnanen T, Koskinen J, Eriksson J, Pänkäälä M, Teräs M, Koivisto T. A real-time approach for heart rate monitoring using a Hilbert transform in seismocardiograms. Physio. Measure. 2016; 37(11): 1885-1909.

Song S, Rooijakkers MJ, Harpe P, Rabotti C, Mischi M, van Roermund AHM, Cantatore E. A noise reconfigurable current-reuse resistive feedback amplifier with signal-dependent power consumption for fetal ECG monitoring. IEEE Sen. J. 2016; 16(23): 8304-8313.

Yu Q, Guan Q, Li P, Liu TB, Huang XL, Zhao Y, Liu HX, Wang YQ. Fusion of detected multi-channel maternal electrocardiogram (ECG) R-wave peak locations. BioMed. Eng. 2016; 15(4): 1-16.

Adithya PC, Sankar R, Moreno WA, Hart S. Trends in fetal monitoring through phonocardiography: challenges and future directions. Biomed. Signal Process. Control, 2017; 33: 289-305.

Gao X. Non-invasive detection and compression of fetal electrocardiogram. Interpreting Cardiac Electrograms - From Skin to Endocardium, InTechOpen. 2017: 53-74; Print ISBN 978-953-51-3571-5.

Li RL, Frasch MG, Wu HT. Efficient fetal-maternal ECG signal separation from two channel maternal abdominal ECG via diffusion-based channel selection. Frontiers in Physiology, 2017; 8: 1-12.

Martinek R, Kahankova R, Nazeran H, Konecny J, Jezewski J, Janku P, Bilik P, Zidek J, Nedoma J, Fajkus M. Non-invasive fetal monitoring: a maternal surface ECG electrode placement-based novel approach for optimization of adaptive filter control parameters using the LMS and RLS algorithms. Sens. 2017; 17(5): 1154;

Singh A, Sharma LN, Dandapat S. Multi-channel ECG data compression using compressed sensing in eigenspace. Comput. Biology Med. 2016; 73: 24-37.

Ma YP, Xiao YG, Wei G, Sun JW. Foetal ECG extraction using non-linear adaptive noise canceller with multiple primary channels. IET Signal Process. 2017: 1-10; DOI: 10.1049/iet-spr.2016.0605.

Escalona OJ, Lynn WD, Perpiñan G, McFrederick L, McEneaney DJ. Data-driven ECG denoising techniques for characterizing bipolar lead sets along the left arm in wearable long-term heart rhythm monitoring. Electronics. 2017; 84(6): 1-18; doi:10.3390/electronics6040084.

Marchon N, Naik G, Pai R. ECG electrode configuration to extract real time ECG signals. Procedia Comput. Sci. 2018; 125: 501–508.

Sutha P, Jayanthi VE. Fetal electrocardiogram extraction and analysis using adaptive noise cancellation and wavelet transformation techniques. J. Med. Syst., 2017; 42(21): 1-18; [Online] Available: https://doi. org/10.1007/s10916-017-0868-3.

Koutsiana E, Hadjileontiadis LJ, Chouvarda I, Khandoker AH. Fetal heart sounds detection using wavelet transform and fractal dimension. Frontiers in Physiology. 2017; 5: 1-9.



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