RESUMEN
Introduction@#Cardiovascular diseases remains the leading cause of morbidity and mortality in most developed and developing countries. The 34.3% of mortality are due to cardiovascular diseases are in Mongolia. The lifetime risk of cardiovascular disease can be predicted by cardiac electrical instability and arrhythmia findings in ECG. The lack of nationwide data and large multicenter studies in our country do not allow us to estimate the true extend of the problem and we want doing the analysis of the cardiac electrical stability and myocardial index.@*Goal@#Evaluate prevalence of cardiac electrical stability and myocardial index of Mongolian people@*Material end Methods@#The subjects were recruited from The “Brilliant Hospise” Hospital of Ulaanbaatar, between April 2017 to May 2018. A total of 1000 consecutive patients, aged between 20-70 years were selected. Research was conducted by descriptive research design, anamnesis, anthropometry measurement, laboratory research and was analyzed dispersion visual image ECG. Statistics data was analyzed by SPSS 27 software. @*Results@#1000 surveyed aged 20-70 questionnaires, anthropometry measurements, fasting venous blood cholesterol and glucose determined and ECG dispersion visual image sensitive to power quality integrated change and electrical instability of very low frequency change, stimulate the formation and electrical transmission loss, heart disease 23,7% of 610 people surveyed in a relatively healthy and electrical stability of the heart muscle are unchanged, tachycadia, power generation and transmission losses, thickening of the heart muscle, axial deviation, other heart disease due had myocardial electrical instability and changed HRV.@*Conclusion@#In this study, we demonstrated that prevalence of myocardial electrical instability and myocardial index of relatively healthy people Mongolia. 23,7% of all healthy people changed myocardial electrical instability and HRV. This method that sensitivity of dispersion functions in differentiating norm, premorbid stage and pathologies in many cases in higher than sensitivity of the usual ECG analysis.