Predicting maximal strength: Difference between revisions
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| A WASSERMANN (talk | contribs) No edit summary | A WASSERMANN (talk | contribs) No edit summary | ||
| (7 intermediate revisions by 2 users not shown) | |||
| Line 6: | Line 6: | ||
| 1RM = w\cdot(0.988+0.0104\cdot x+0.00190\cdot x^2-0.0000584\cdot x^3) | 1RM = w\cdot(0.988+0.0104\cdot x+0.00190\cdot x^2-0.0000584\cdot x^3) | ||
| </math> | </math> | ||
| The  | The horizontal axis denotes the number of repetitions, the vertical axis denotes the ratio 1RM/RTF. | ||
| '''How to use this graphical calculator?''' | |||
| Suppose you managed to do 9 repetitions with a weight of 80 kilograms.  In the graphical calculator below you have to drag the black dot to r=9 and the blue dot to weight=80. Now, you can read of the 1RM prediction of 95.43. | |||
| var w = brd. | <jsxgraph width="700" height="500"> | ||
| var brd = JXG.JSXGraph.initBoard('jxgbox',{boundingbox:[-1,1.8,30,0.8], axis: true}); | |||
| var w = brd.create('slider',[[24,0.92],[24,1.7],[0,50,200]],{name:'weight w',snapWidth:1}); | |||
| f = function(x){ return (0.988+0.0104*x+0.00190*x*x-0.0000584*x*x*x); }; | f = function(x){ return (0.988+0.0104*x+0.00190*x*x-0.0000584*x*x*x); }; | ||
| var c = brd. | var c = brd.create('functiongraph',[ | ||
|               f, |               f, | ||
|               1,22 |               1,22 | ||
| Line 23: | Line 24: | ||
|               ); |               ); | ||
| var r = brd. | var r = brd.create('glider',[10,1,c],{name:'',fillColor:'black',strokeColor:'black',style:6}); | ||
| var t = brd. | var t = brd.create('text',[function(){return r.X()+1;},   | ||
|                                    function(){return r.Y();},   |                                    function(){return r.Y();},   | ||
|                                    function(){return "repetitions r = " + Math.floor(r.X());}]); |                                    function(){return "repetitions r = " + Math.floor(r.X());}]); | ||
| brd. | brd.create('text',[5,1.6,   | ||
|                    function(){return "predicted 1RM = " + (w.Value()*f(Math.floor(r.X()))).toFixed(2);}], | |||
|                    {fontSize:24,strokeColor:'red'}); | |||
| </jsxgraph> | </jsxgraph> | ||
| Line 39: | Line 40: | ||
| === The underlying JavaScript code === | === The underlying JavaScript code === | ||
| <source lang=" | <source lang="javascript"> | ||
| var brd = JXG.JSXGraph.initBoard('jxgbox',{boundingbox:[-1,1.8,30,0.8], axis: true}); | |||
| var brd = JXG.JSXGraph.initBoard('jxgbox',{boundingbox:[-1,1.8,30,0.8] | |||
| var w = brd. | var w = brd.create('slider',[[24,0.92],[24,1.7],[0,50,200]],{name:'weight w',snapWidth:1}); | ||
| f = function(x){ return (0.988+0.0104*x+0.00190*x*x-0.0000584*x*x*x); }; | f = function(x){ return (0.988+0.0104*x+0.00190*x*x-0.0000584*x*x*x); }; | ||
| var c = brd. | var c = brd.create('functiongraph',[ | ||
|               f, |               f, | ||
|               1,22 |               1,22 | ||
| Line 55: | Line 53: | ||
|               ); |               ); | ||
| var r = brd. | var r = brd.create('glider',[10,1,c],{name:'',fillColor:'black',strokeColor:'black',style:6}); | ||
| var t = brd. | var t = brd.create('text',[function(){return r.X()+1;},   | ||
|                            function(){return r.Y();},   | |||
|                            function(){return "repetitions r = " + Math.floor(r.X());}]); | |||
| brd. | brd.create('text',[5,1.6,   | ||
|                    function(){return "predicted 1RM = " + (w.Value()*f(Math.floor(r.X()))).toFixed(2);}], | |||
|                    {fontSize:24,strokeColor:'red'}); | |||
| </source> | </source> | ||
| [[Category:Examples]] | [[Category:Examples]] | ||
Latest revision as of 15:45, 20 February 2013
This little application tries to predict the maximal strength (1RM) based on a repetitions to fatigue (RTF) value.
The calculation is based on the so called KLW formula:
- [math]\displaystyle{ 1RM = w\cdot(0.988+0.0104\cdot x+0.00190\cdot x^2-0.0000584\cdot x^3) }[/math]
The horizontal axis denotes the number of repetitions, the vertical axis denotes the ratio 1RM/RTF.
How to use this graphical calculator? Suppose you managed to do 9 repetitions with a weight of 80 kilograms. In the graphical calculator below you have to drag the black dot to r=9 and the blue dot to weight=80. Now, you can read of the 1RM prediction of 95.43.
References
- W. Kemmler, D. Lauber, J. Mayhew, and A. Wassermann: "Predicting Maximal Strength in Trained Postmenopausal Woman", Journal of Strength and Conditioning Research 20(4), (2006), pp. 838-842.
The underlying JavaScript code
var brd = JXG.JSXGraph.initBoard('jxgbox',{boundingbox:[-1,1.8,30,0.8], axis: true});
var w = brd.create('slider',[[24,0.92],[24,1.7],[0,50,200]],{name:'weight w',snapWidth:1});
f = function(x){ return (0.988+0.0104*x+0.00190*x*x-0.0000584*x*x*x); };
var c = brd.create('functiongraph',[
             f,
             1,22
             ], {strokeColor:'black', highlightStrokeColor:'black'}
             );
var r = brd.create('glider',[10,1,c],{name:'',fillColor:'black',strokeColor:'black',style:6});
var t = brd.create('text',[function(){return r.X()+1;}, 
                           function(){return r.Y();}, 
                           function(){return "repetitions r = " + Math.floor(r.X());}]);
brd.create('text',[5,1.6, 
                   function(){return "predicted 1RM = " + (w.Value()*f(Math.floor(r.X()))).toFixed(2);}],
                   {fontSize:24,strokeColor:'red'});
