Identification and Assessment of Electrocardiographic Markers of Cardiac Electrical Instability

Kateryna Ivanko, Nataliia Ivanushkina, Yevgeniy Karplyuk


Background. Development of the methods for identification and assessment of early signs of heart disorders makes it possible to catch the sight of disease at its initial stage. The article considers the methods of early diagnosis of the cardiovascular system using electrocardiographic markers of cardiac electrical instability.

Objective. The aim of the study is to identify low-amplitude components, which are inaccessible to standard procedures of electrocardiogram (ECG) evaluation by means of modern methods of registration, digital processing of electrocardiosignals and high resolution electrocardiography.

Methods. For detection of diagnostic symptoms associated with cardiac electrical instability, changes in real and simulated electrocardiosignals have been studied using different types of analysis: in time and frequency domains, scattergrams, cluster analysis, wavelet analysis and principal component analysis.

Results. The developed combined methods for analysis of low-amplitude components of electrocardiosignals allowed us to perform detection of late potentials, as well as T wave alternans, reflecting cardiac electrical instability.

Conclusions. Identification and evaluation of subtle manifestations of cardiac electrical activity are carried out. The use of the proposed method made it possible to distinguish the bursts of late potentials from the noise and to determine the temporal area of their localization.


High-resolution electrocardiography; Late potentials; T wave alternans; Markers of cardiac electrical instability; Clustering analysis; Principal component analysis; Eigenvectors basis; Wavelet analysis

Full Text:



New Methods of Electrocardiography, S.V. Grachev et al., eds., Moscow, Russia: Tekhnosfera, 2007 (in Russian).

G. Breithardt et al., “Standards for analysis of ventricular late potentials using high-resolution or signal-averaged electrocar-diography: A statement by a task force committee of the European society of Cardiology, the American heart association, and the American college of Cardiology”, J. Am. College Cardiol., vol. 17, no. 5, pp. 999–1006, 1991. doi: 10.1016/0735-1097(91)90822-Q

N.G. Ivanushkina and K.A. Ivanko, Digital Processing of Low-Amplitude Components of Electrocardiosignals. Kyiv, Ukraine: NTUU KPI, 2014 (in Ukrainian).

N.A. Matveyeva et al., “Combined method for detection of atrial late potentials”, in Proc. IEEE 33th Int. Sci. Conf. Electron. Nanotechnol., Kyiv, Ukraine, 2013, pp. 285–289. doi: 10.1109/ELNANO.2013.6552080

S.M. Narayan, “T wave Alternans and the susceptibility to ventricular Arrhythmias”, J. Am. College Cardiol., vol. 47, no. 2, pp. 269–281, 2006. doi: 10.1016/j.jacc.2005.08.066

M. Walker, “Repolarization alternans: Implications for the mechanism and prevention of sudden cardiac death”, Cardio­vascular Res., vol. 57, no. 3, pp. 599–614, 2003. doi: 10.1016/S0008-6363(02)00737-X

A.L. Goldberger et al., “PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals”, Circulation, vol. 101, no. 23, pp. 215–220, 2000. doi: 10.1161/01.CIR.101.23.e215

G.B. Moody, “The PhysioNet / computers in cardiology challenge 2008: T wave alternans”, Computers in Cardiology, vol. 35, pp. 505–508, 2008. doi: 10.1109/CIC.2008.4749089

Y. Karplyuk et al., “Peculiarities of T wave alternans detection and evaluation”, in Proc. IEEE 35th Int. Sci. Conf. Electron. Nanotechnol., Kyiv, Ukraine, 2015, pp. 356–361. doi: 10.1109/ELNANO.2015.7146909

F. Castells et al., “Principal component analysis in ECG signal processing”, EURASIP J. Adv. Signal Processing, vol. 2007, 21 p., 2007. doi: 10.1155/2007/74580

C. Saritha et al., “ECG signal analysis using wavelet transforms”, Bulg. J. Phys., vol. 35, pp. 68–77, 2008.

F. Castells et al., “Morphological descriptors based on eigen value decomposition for P-wave analysis”, Computers in Cardio­logy, vol. 35, pp. 245–248, 2008. doi: 10.1109/CIC.2008.4749023

R. Simoliuniene et al., “Principal component analysis based method for detection and evaluation of ECG T wave alternans”, Computers in Cardiology, vol. 35, pp. 521–524, 2008. doi: 10.1109/CIC.2008.4749152

GOST Style Citations



  • There are currently no refbacks.