1 Institute of Energy Problems of Chemical Physics, Russian Academy of Sciences
Russia 119334 Moscow, Leninsky prosp. 28, building 2
2 Institute of Biology and Chemistry, Moscow Pedagogical State University
Russia 129164 Moscow, Kibalchicha str. 6, building 1
3 Bakulev Scientific Center of Cardiovascular Surgery
Russia 121552 Moscow, Rublevskoe sh. 135
* Corresponding author:
+7 (915) 492-29-43
This paper describes a novel approach to the analysis of electrocardiographic data based on the consideration of the repetitive P, Q, R, S, T sequences as cyclic codes. In Part I we introduce a principle similar to the syndrome decoding using the control numbers, which allows correcting the noise combinations.
Materials and methods
We propose to apply the burst-error-correcting algorithms for automatic detection of the ECG artifacts and the functional abnormalities, including those compared to the reference model. Our approach is compared to the symbolic dynamics methods. During the automated search of the code components (i.e. point values and spectral ranges one-to-one corresponding to P, Q, R, S, T) considered in Part II, the authors apply the Lomb-Scargle periodogram method with the phase control which allows to determine the code components not only from the main harmonics, but also using the sidebands, avoiding the phase errors.
The results of the method testing on rats with the heart failure using a simplified telemetric recording from the implantable chips are given in Part III. A complete independence of the results of the determination of the code points (fingerprints) from the variables for which the calculation is performed is shown. We also prove the robustness of the above approach with respect to the most types of the non-adaptive filtration.
The above method can be useful not only for experimental medicine, but also for veterinary and clinical diagnostic practice. This method is adequately reproduced both on animals and human ECG, except for some constant values.
Evgenie D. Adamovi—Ā, Pavel L. Aleksandrov, Oleg V. Gradov, Leonid M. Mamalyga, Maksim L. Mamalyga. Correction of the recording artifacts and detection of the functional deviations in ECG by means of syndrome decoding with an automatic burst error correction of the cyclic codes using periodograms for determination of the code component spectral range. Part 1: Basic principles of the novel approach; Cardiometry; No.6; May 2015; p.65-76; DOI:10.12710/cardiometry.2015.6.6576 Available from: www.cardiometry.net/no6-may-2015/functional-deviations-in-ecg