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gd3.html
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<!DOCTYPE html>
<html>
<head>
<script type="text/javascript"
src="https://www.google.com/jsapi?autoload={
'modules':[{
'name':'visualization',
'version':'1',
'packages':['corechart']
}]
}"
></script>
</head>
<body>
<script>
function iob(g,idur)
//g is time in minutes from bolus event, idur=insulin duration
//walsh iob curves
{
if(g<=0.0) {tot=100.0} else
if(g>=idur*60.0) {tot=0.0} else {
if(idur=3) {
tot=-3.203e-7*Math.pow(g,4)+1.354e-4*Math.pow(g,3)-1.759e-2*Math.pow(g,2)+9.255e-2*g+99.951} else
if (idur=4) {
tot=-3.31e-8*Math.pow(g,4)+2.53e-5*Math.pow(g,3)-5.51e-3*Math.pow(g,2)-9.086e-2*g+99.95} else
if (idur=5) {
tot=-2.95e-8*Math.pow(g,4)+2.32e-5*Math.pow(g,3)-5.55e-3*Math.pow(g,2)+4.49e-2*g+99.3} else
if (idur=6) {
tot=-1.493e-8*Math.pow(g,4)+1.413e-5*Math.pow(g,3)-4.095e-3*Math.pow(g,2)+6.365e-2*g+99.7}
}
return(tot);
}
function intIOB(x1,x2,idur,g)
//simpsons rule to integrate IOB - can include sf and dbdt as functions of tstar later - assume constants for now
//integrating over flux time tstar
{
var integral;
var dx;
var nn=50; //nn needs to be even
var ii=1;
//initialize with first and last terms of simpson series
dx=(x2-x1)/nn;
integral=iob((g-x1),idur)+iob(g-(x1+nn*dx),idur);
while(ii<nn-2) {
// console.log(i);
// for (i=1;i<nn-1;i=i+2) {
integral = integral + 4*iob(g-(x1+ii*dx),idur)+2*iob(g-(x1+(ii+1)*dx),idur);
ii=ii+2;
}
integral=integral*dx/3.0;
return(integral);
}
function cob(g,ct)
//scheiner high gi
//g is time in minutes,ct is carb type
{
var at={high:90.0,medium:180.0,low:240.0};
if(ct=="high") {
if(g<=0) {tot=0.0} else
if (g>=at.high) {tot=1.0} else
if ((g>0)&&(g<=at.high/2.0)) {
tot=2.0/Math.pow(at.high,2)*Math.pow(g,2)} else
tot=-1.0+4.0/at.high*(g-Math.pow(g,2)/(2.0*at.high))
}
return(tot);
}
function deltatempBGI(g,dbdt,sensf,idur,t1,t2)
{
return -dbdt*sensf*((t2-t1)-1/100*intIOB(t1,t2,idur,g));
//return -dbdt*sensf*(t2-t1);
}
function deltaBGC(g,sensf,cratio,camount,ct)
{
return sensf/cratio*camount*cob(g,ct);
}
function deltaBGI(g,bolus,sensf,idur)
{
return -bolus*sensf*(1-iob(g,idur)/100.0);
}
function deltaBG(g,sensf,cratio,camount,ct,bolus,idur)
{
return deltaBGI(g,bolus,sensf,idur)+deltaBGC(g,sensf,cratio,camount,ct);
}
//user parameters - carb ratio, sensitivity factor, insulin duration
var userdata={cratio:8.5,sensf:47.0,idur:3}
var uevent = [];
//user events - insulin and carbs time in min, bolus in units
uevent[0] = {time:0.0,etype:"bolus",units:5.29};
uevent[1] = {time:0.0,etype:"carb",grams:45.0,ctype:"high"};
//uevent[2] = {time:150.0,etype:"bolus",units:5.29};
//uevent[3] = {time:150.0,etype:"carb",grams:45.0,ctype:"high"};
//uevent[2]={time:0.0,etype:"tempbasal",t1:0.0,t2:120,dbdt:(-2.0/(120.0))}
var simt = 5.0*60; //total simulation time from zero
var n=50; //points in simulation
var dt=simt/n;
var simbgc = [];
var simbgi = [];
var simbg = [];
var predata =[];
for (i=0;i<n;i++) {
simbgc[i]=0.0;
simbgi[i]=0.0;
simbg[i]=0.0; }
for (j = 0; j < uevent.length; j++) {
for (i=0; i<n;i++) {
if(uevent[j].etype=="carb") {
simbgc[i] = simbgc[i]+deltaBGC(i*dt-uevent[j].time,userdata.sensf,userdata.cratio,uevent[j].grams,uevent[j].ctype)} else
if(uevent[j].etype=="bolus") {
simbgi[i] = simbgi[i]+deltaBGI(i*dt-uevent[j].time,uevent[j].units,userdata.sensf,userdata.idur) }
else
{
simbgi[i]=simbgi[i]+deltatempBGI((i*dt-uevent[j].time),uevent[j].dbdt,userdata.sensf,userdata.idur,uevent[j].t1,uevent[j].t2)}
}
}//end event loop
//predata[Math.ceil(uevent[0].time/simt*dt)+1,4]=uevent[0].bolus;
// predata[1,4]=uevent[0].bolus;
// google.load('visualization', '1', {'packages':['corechart']});
google.setOnLoadCallback(drawChart);
var predata = new google.visualization.DataTable();
predata.addColumn('number', 'Time'); // Implicit domain label col.
predata.addColumn('number', 'Carb Effect'); // Implicit series 1 data col.
predata.addColumn('number', 'Insulin Effect'); // Implicit series 1 data col.
predata.addColumn('number', 'Blood Sugar mg/dl'); // Implicit series 1 data col.
predata.addColumn({type:'string', role:'annotation'}); // annotation role col.
predata.addColumn({type:'string', role:'annotation'}); // annotation role col
// predata [0]= ['Time','Carb Effect','Insulin Effect','Blood Sugar mg/dl','bolus','carb'];
for (i=0;i<n;i++) {
simbg[i]=simbgc[i]+simbgi[i];
// if(i==1){ predata.addRow([(dt*i)+1,simbgc[i],simbgi[i],simbg[i],"hi","ken"])} else
predata.addRow([(dt*i)+1,simbgc[i],simbgi[i],simbg[i],null,null]);
}
//annotate event data
// for (i=0;i<uevent.length;i++) {
// if(uevent[i].etype=="bolus") {predata.setValue(Math.ceil(uevent[i].time/simt*n+1),4,(uevent[i].units).toString())+"U"} else
// predata.setValue(Math.ceil(uevent[i].time/simt*n+5),5,(uevent[i].grams).toString()+"g")
// }
function drawChart() {
//var data = google.visualization.arrayToDataTable(predata);
var options = {
title: 'GlucoDyn',
curveType: 'function',
legend: { position: 'bottom' },
hAxis: {
title: 'Time (min)'
},
vAxis: {
title: 'Change in BG mg/dl'
}
};
var chart = new google.visualization.LineChart(document.getElementById('curve_chart'));
chart.draw(predata, options);
}
</script>
<div id="curve_chart" style="width: 900px; height: 500px"></div>
</body>
</html>