D3 Examples - Blood Pressure Waveform II

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<!DOCTYPE html>
<head>
  <meta charset="utf-8">
  <script src="https://d3js.org/d3.v4.min.js"></script>
<style>
body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
    
.axis {
  font: 10px sans-serif;
}
​
.axis path,
.axis line {
  fill: none;
  stroke: #000;
  shape-rendering: crispEdges;
} 
  
.axis--match text{
  fill: purple;
}
​
.line {
  fill: none;
  stroke: red;
  stroke-width: 1.5px;
}
  
.bar {
  fill: purple;
  opacity: .5;
}
​
.bar:hover {
  fill: red;
  opacity: .7;
}
  
</style>
</head>
​
<body>
<script>
var margin = {top: 20, right: 50, bottom: 30, left: 50},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;
  
var svg = d3.select("body").append("svg")
    .attr("width", 960)
    .attr("height", 500)
  .append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")");
  
var x = d3.scaleLinear()
    .range([0, width]);
var y = d3.scaleLinear()
    .range([height, 0]);
var y2 = d3.scaleLinear()
    .range([height, 0]);
​
var line = d3.line()
    .x(d => x(d.t))
    .y(d => y(d.value));
  
var matched = d3.area()
        .curve(d3.curveMonotoneX)
    .x(d => x(d.t))
        .y0(height)
    .y1(d => y2(d.match));
  
var notch_idx = 87;
var template_size = 3;
  
d3.csv("data.dat", type, (err, data) => {
  if (err) throw err;
  
  let template = rangeAround(data, notch_idx, template_size);
  console.log("template", template);
  template = normalize(template);
  check(template)
  console.info("normalized template", template);
  
  data = convolve(data, template);
//   console.log('data', data);
  
  x.domain(d3.extent(data, d => d.t));
  y.domain(d3.extent(data, d => d.value));
  y2.domain(d3.extent(data, d => Math.max(d.match, 0)));
​
  svg.append("g")
      .attr("class", "axis axis--x")
      .attr("transform", "translate(0," + height + ")")
      .call(d3.axisBottom(x));
​
  svg.append("g")
      .attr("class", "axis axis--y")
      .call(d3.axisLeft(y));
  
    svg.append("g")
      .attr("class", "axis axis--match")
      .attr("transform", "translate( " + width + ", 0 )")
      .call(d3.axisRight(y2));
  
   // Blood Pressure
   svg.append("path")
      .datum(data)
      .attr("class", "line")
      .attr("d", line);
  
    // Match
//     svg.append("path")
//       .datum(data)
//       .attr("class", "match")
//       .attr("d", matched);
  
  var bars = svg.append("g")
  bars.selectAll(".bar")
    .data(data)
    .enter().filter(d => "match" in d).append("rect")
      .attr("class", "bar")
      .attr("x", function(d) { return x(d.t) -2.5; })
      .attr("y", function(d) { return y2(d.match); })
      .attr("width", 5)
      .attr("height", (d) => {return Math.max(height - y2(d.match), 0);})
        .on("mouseover", mouseover)
  
  function mouseover(d) { 
    console.log("d", d);
  }
});
  
function type(d, i) {
  d.value = +d.value;
  d.t = i;
  return d;
}
  
function check(template) {
  sum = 0;
  template.forEach(t => {
    sum += t.value;
  })
  console.info("sum", sum);
}
  
function rangeAround(data, idx, size) {
  var side = Math.floor(size/2);
  var result = [];
  for (var i = idx-side; i <= idx+side; i++) {
    result.push(data[i]);
  }
  return result;
}
  
function normalize(values) {
  var result = [];
  var side = Math.floor(values.length/2);
  var ave = d3.mean(values, d => d.value);
  console.log("average", ave);
  var j = -side;
  values.forEach(d => {
    var val = d.value - ave
    result.push({value: val, offset: j});
    j++;
  })
  return result;
}
  
function convolve(data, template) {
  var side = Math.floor(template.length/2); 
  for (var i = 0; i < data.length; i++) {
     
     if (i + side < data.length && i - side >= 0)
     {
       var sum = 0;
       template.forEach(t => {
         var j = i + t.offset;
         sum += (data[j].value * t.value);
       })
       data[i]["match"] = sum;
     }
     
  }
  
  return data;
}
  </script>
</body>
​
    