Research Article

Monitoring and Visualization of Physical Exercise Physiological Indicators Driven by Discrete Data

Table 3

Code implementation of global physiological indicators.

NumberIndicator contentCode text

1Distance matrix Var texts = ‘0123456789’.split(‘‘);
2Many indicators <scripttype = ”text/javascript”>
3Basis functions Var fontsize = 16;
4Affect data quality Var columns = nvas.width/fontsize;
5Strategy of points Body{margin: 0; padding:
6Basis functions Var drops = [];
7The global physiological0; overflow: Hidden; }
8The calculation of For(var x = 0; x < columns; x++){
9The iterative displacementDrops[x] = 1;
10Code implementationFunction draw(){
11Different regions If(drops[i]fontsize > anvas.height
12 index ErrorCtx.fillstyle = ‘rgba(0, 0, 0, 0.05)’;
13Position of the point Ctx.fillrect(0, 0, canvas.height);
14In the process of Setinterval(draw, 33)
15The transaction databaseCtx.fillstyle = ‘#0F0’;
16 eligible FrequentCtx.font = fontsize + ‘px arial’;
17Finding frequent itemsets<html> <head> <title>kuaile
18Through the limitation of For(var i = 0; i < drops.length;