Research Article
Monitoring and Visualization of Physical Exercise Physiological Indicators Driven by Discrete Data
Table 3
Code implementation of global physiological indicators.
| Number | Indicator content | Code text |
| 1 | Distance matrix | Var texts = ‘0123456789’.split(‘‘); | 2 | Many indicators | <scripttype = ”text/javascript”> | 3 | Basis functions | Var fontsize = 16; | 4 | Affect data quality | Var columns = nvas.width/fontsize; | 5 | Strategy of points | Body{margin: 0; padding: | 6 | Basis functions | Var drops = []; | 7 | The global physiological | 0; overflow: Hidden; } | 8 | The calculation of | For(var x = 0; x < columns; x++){ | 9 | The iterative displacement | Drops[x] = 1; | 10 | Code implementation | Function draw(){ | 11 | Different regions | If(drops[i]fontsize > anvas.height | 12 | index Error | Ctx.fillstyle = ‘rgba(0, 0, 0, 0.05)’; | 13 | Position of the point | Ctx.fillrect(0, 0, canvas.height); | 14 | In the process of | Setinterval(draw, 33) | 15 | The transaction database | Ctx.fillstyle = ‘#0F0’; | 16 | eligible Frequent | Ctx.font = fontsize + ‘px arial’; | 17 | Finding frequent itemsets | <html> <head> <title>kuaile | 18 | Through the limitation of | For(var i = 0; i < drops.length; |
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