Geographic Distribution Of Peak Value Of Early Diastolic Blood Flow In Chinese Men

Peak E of mitral valve orifice is an important index of left ventricular diastolic function,which is effected by the function of human body(such as the genetic,gender, age, living habits). Meanwhile, the impact on the natural environment is also very significant.Currently, there are a few researches on the relationship between Peak E of mitral valve orifice and the environment,also lack of the unified reference value standard of Peak E of mitral valve orifice at home and abroad.which seriously affected the pre-clinical diagnosis and disease accuracy contracting. Therefore, there are very practical scientific significance and value to make the quantitative analysis with the Peak E of mitral valve orifice and environment factors.This paper combined the ArcGIS and Matlab software,on the basis of the known data to make the model which can predict the unknown data,obtained the distribution characteristics of the reference value to make up the unified standard. Collected the Peak E of mitral valve orifice reference values of18605healthy men who are18to80years old from32provinces, municipalities and autonomous regions.According to the different age, it can be divided into three groups, respectively young men group(from18to40years old); middle-aged men group(from41to65years old);Old men group(from66to80years old).Using spatial autocorrelation analysis and correlation analysis to make sure the relationship between Peak E of mitral valve orifice and the10environmental factors (altitude,annual sunshine duration annual mean temperature, annual mean relative humidity, annual temperature range, annual average wind speed, topsoil reference bulk density, topsoil organic carbon, topsoil pH, topsoil base saturation).Then, made the principal component model and artificial neural network model, compare the closed data and real data, selected the optimal prediction model of all ages.By using the software of ArcGIS to get the trend of spatial analysis and geographic distribution.Through the research, finally come to the conclusion:(1) It can be found that the relationship between Peak E of mitral valve orifice and environmental factors is not independent,there is a strong spatial correlation between the two.â‘ There is a significant correlation between the young men group of peak E of mitral valve orifice and the topsoil pH, topsoil base saturation;â‘¡There is a significant correlation between middle-aged men group of peak E of mitral valve orifice and annual average wind speed, annual sunshine duration and annual mean relative humidity;â‘¢There is a significant correlation between the old men group of peak E of mitral valve orifice and annual mean temperature, annual temperature range, topsoil pH and topsoil base saturation.(2) The optimal prediction model of young men, middle-aged men of Peak E of mitral valve orifice are main component analysis, old men is the artificial neural network model.(3) The distribution trend of the Peak E of mitral valve orifice of young men is descending from southeast coastal to northwest inland,the trend of middle-aged men is decreasing from the south to the north;the trend of old men is high in west and east,low in the north and south.â‘ The overall trend of the young men group of peak E of mitral valve orifice is decreasing from the inland northwest to the southeast coast.â‘¡The overall trend of the middle-aged men group of peak E of mitral valve orifice is decreasing from south to north.â‘¢The overall trend of the old men group of mitral valve orifice is high in west and east,low in the south and north.(4) If known the10environmental factors of somewhere in China, using the optimal prediction model can calculate the Peak E of mitral valve orifice of different age groups of healthy men, also can get the Peak E of mitral valve orifice (MVE) of healthy men from the map.