Open Access e-Journal Cardiometry No.16 May 2020

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Table 2Probability of true recording in a lead№ V1 V2 V3 V4 V5 V6 I III aVR aVF* 0,65 0,64 0,75 0,53 0,62 0,70 0,68 0,63 0,68 0,62** 0,80 0,70 0,85 0,86 0,89 0,85 0,54 0,78 0,86 0,80PT(P)*** 0,95 0,94 0,97 0,96 0,94 0,95 0,96 0,92 0,95 0,97**** 0,70 0,74 0,88 0,89 0,79 0,74 0,54 0,69 0,92 0,89Note: Results of probabilities calculation for the electrodes are indicated* - «H92SG», ** - «H99SG», *** - «MSGLT-05MGRT», **** - «М2202А»Table 3Coefficient of correlation between values from electrodes№ Electrode typeCoefficient of correlationbetween values R:P1 H92SG 0,48092 H99SG 0,35263 MSGLT-05MGRT 0,32804 М2202А - 0,0343The obtained results given in Table 3 and illustratedby Figures 1–3 show that the correlationrelationship exists between the values of electricresistance and the probability value. The correlationrelationship between the probability value forH92SG is r = 0.4809, for H99SG r = 0.3526, andfor MSGLT-05MGRT r = 0.3280, respectively. Ouranalysis of scatter plots in Figures 1-3 shows thatapparent outliers have not been found, and the observationpoints are within the confidence interval.However, in each of the H92SG, H99SG andMSGLT-05MGRT electrodes, two observations gobeyond the confidence limits that indicates the absenceof outliers.However, the correlation analysis of the dependencefor the M2202A electrode gives us a negativevalue of this ratio, namely r = - 0.0343. The analysisof the scatter plots for the given electrode shows thatthere are four outliers beyond the confidence limits ofthe probability interval P = 0.95.We should note that in [12] the H92SG, H99SG,MSGLT-05MGRT and M2202A electrodes differedfrom each other in the state of their contact conductiveagents, namely, liquid and solid. The M2202Aelectrode, during the long-term evaluation of itsCCA, demonstrated changes in its reference characteristicsdue to an error, which occurred because ofspreading of liquid CCA beyond the specified area ofthe electrode measuring cell. The calculated error in[12] for the M2202A electrode shows that there areoutliers beyond the confidence limits of probabilityinterval P = 0,95 and a negative correlation betweenthe variables. The lower the outliers on a scatter plot,the more variables are grouped around the trendFigure 1. Scatter plot of correlation for electrode H92SGFigure 2. Scatter plot of correlation for electrode H99SGlines, and, accordingly, the greater is the correlationvalue, that is different from zero, between the studiedvariables.Thus, systematizing the results obtained above,we can conclude that the accuracy of the ECG signalparameters formation during long-term signalrecording is influenced by liquid state of CCA inelectrodes. As a consequence, electrodes with solidCCA have the most appropriate characteristics foruse in long-term monitoring of the ECG signal parameters.This conclusion can be supported by theresults of study [12] and the evaluation of the relationshipbetween the electrodes characteristics with108 | Cardiometry | Issue 16. May 2020
Statement on ethical issuesResearch involving people and/or animals is in fullcompliance with current national and internationalethical standards.Conflict of interestNone declared.Figure 3. Scatter plot of correlation for electrodeMS¬GLT-05MGRTFigure 4. Scatter plot of correlation for electrode М2202Аthe use of the scatter plots. The scatter plots allowus to visually assess the strength of the correlationbetween the studied variables and outliers beyondthe confidence limits of the probability interval thatmakes it possible to identify the effect produced bythe electrodes characteristics on the accuracy of theformation of electrical cardiac signal parametersfor each electrode in the scope of the consideredtrademarks.ConclusionsThus, the results of our analysis of the effects producedby the respective electrode characteristics on theaccuracy of the formation of the ECG signal parametersare presented herein. In electrodes with solid CCAthe accuracy level of the formation of the ECG signalparameters is significantly higher as compared with theelectrodes containing liquid CCA.FundingThe research is supported by the Russian FederationGovernment (Grant 08-08).Author contributionsThe authors read the ICMJE criteria for authorship andapproved the final manuscript.References1. Nemirko AP, Manilo LA, Kalinichenko AN. Matematicheskijanaliz biomedicinskih signalov i dannyh.M.: Fizmatlit.; 2017. [in Russian]2. Rangajjan RM. Analizbiomedicinskihsignalov. M.:Fizmatlit.; 2010.[in Russian]3. Berkaya SK, Uysal AK, Sora GE, Ergin S. A surveyon ECG analysis. Biomedical Signal Processingand Control. 2018(4):216-235. doi: 10.1016/j.bspc.2018.03.003.4. Makarov LM., et al. National Russian guidelines on applicationof the methods of Holter monitoring in clinicalpractice. Russian Journal of Cardiology. 2014 (2):6-71.5. Altay YA, Kremlev AS. Analysis and systematizationof noise arising by long-term recording of ECG signal.ELCONRUS Intern. Conf; Univ. Eltech, Saint Petersburg,Russian Federation; 2018.6. Fedotov AA. Selection of Parameters of BandpassFiltering of the ECG Signal for Heart Rhythm MonitoringSystems. Biomedical Engineering. 2016(50):114-118. DOI: 10.1007/s10527-016-9600-8.7. Altay YA, Kremlev AS, Zimenko KA, Margun AA.The Effect of Filter Parameters on the Accuracy ofECG Signal Measurement. Biomedical Engineering.2019(53):176-180.DOI: 10.1007/s10527-019-09903-2.8. Altay YA, Kremlev AS, Zimenko KA. A new ECGsignal processing method based on wide-band notchfilter. Proc. of EIConRus Intern. Conf. St. Petersburg,2020. P. 1464-1469.9. Baranovskij AL, Nemirko AP, Kalinichenko AN.Kardiomonitory. Apparatura nepreryvnogo kontroljaJeKG. M.: Radio isvjaz'.; 1993. [in Russian]10. Tihonenko VM, Shihaliev DR. Oshibki pri ocenkedannyh Holterovskogo monitorirovanie. Vestnik Aritmologii.2015(82):12-20. [in Russian]11. Altaj EA, Kremlev AS. Formirovanie kompleksnogopodhoda dlya analiza obrabotki izmeritel'nojIssue 16. May 2020 | Cardiometry | 109
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