We sequentially collected the electrocardiograms of inpatients in the First Affiliated Hospital of Shantou University Medical College from July 2015 to December 2015 in order to screen cases of LVH with STE. The aim of this study was to analyze and show data for electrocardiographic left ventricular hypertrophy (LVH) with ST-segment elevation (STE) by a heat map in order to explore the feasibility and clinical value of heat mapping for ECG data visualization. Few papers display ECG data by visual means. Once you see the graph, double click on it to bring up the Format Graph dialog with many more choices.Most electrocardiogram (ECG) studies still take advantage of traditional statistical functions, and the results are mostly presented in tables, histograms, and curves. Choose the Heat Map tab and make basic choices about the kind of heat map you wish to make. When you go to the automatic graph (or choose New.Graph of existing data), the New Graph dialog opens. You can even choose to make a heat map of variation, and use the SD, %CV or SEM as the basis of the heatmap. If you enter replicate values in side by side subcolumns, you can later choose if you want the heat map to be based on the mean, median or geometric mean of the replicates. If your table as three rows and four columns, the heat map will also have three rows and four columns. Unless you choose to reverse or transpose axes, the arrangement of the colors on the heat map will correspond to the numbers in the table. In this case, each number you enter maps to one rectangle on the heat map.

Most often you'll want to format this with no subcolumns. Prism offers lots of options to make Heat maps useful.Įnter data on a Grouped table. The rectangle or square is color coded according to the value of that cell in the table. The basic idea of a heat map is that the graph is divided into rectangles or squares, each representing one cell on the data table, one row and one data set. Heat maps are a standard way to plot grouped data.

Graphpad prism 6 heat map