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Commit e4983024 authored by Robert L. Read's avatar Robert L. Read
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changed to support I as the inspiratory airway in ADDITION to A

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breath_plot.html
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......@@ -30,11 +30,25 @@ Breath Plot: COVID-19 Respiration Analysis Software
<script src='js/respiration_math.js'></script>
<title>Public Invention Respiration Analysis</title>
</head>
<style>
#timetop {
display: flex;
flex-direction:row;
justify-content: space-between;
background: AliceBlue;
}
#leftjustify {
display: flex;
flex-direction:row;
justify-content: flex-start;
}
button {
margin-left: 10px;
margin-right: 10px;
}
#calcarea {
flex-direction:column;
background: AliceBlue;
......@@ -166,24 +180,45 @@ an interactive or static analysis of a respiration. It&#39;s primary purpose is
<input type="text" class="form-control" id="samples_to_plot" aria-describedby="samples_to_plot">
</div>
<div>
<label for="livetoggle">Plot Live:</label>
<label class="switch">
<input type="checkbox" id="livetoggle" checked>
<span class="slider round"></span>
</label>
</label>
<div id="leftjustify">
<button type="button" class="btn btn-primary">5s</button>
<button type="button" class="btn btn-primary">10s</button>
<button type="button" class="btn btn-primary">15s</button>
<button type="button" class="btn btn-primary">30s</button>
<button type="button" class="btn btn-primary">60s</button>
<button type="button" class="btn btn-primary">120s</button>
<button type="button" class="btn btn-primary">180s</button>
<button type="button" class="btn btn-primary">300s</button>
</div>
</div>
<div class="container-fluid">
<div class="row">
<div class="col-9">
<div class="col-9">
<div id="timetop">
<div class="alert alert-info" role="alert" id="time_start">
Time of first sample
</div>
<div class="alert alert-info" role="alert" id="time_finish">
Time of last sample
</div>
</div>
<div id='PFGraph'><!-- Pressure and Flow Graph --></div>
<div id='EventsGraph'><!-- Events --></div>
</div>
<div class="col-3">
<div class="alert alert-danger" role="alert" id="main_alert">
Danger! Flow limits exceeded; volumes will be incorrect.
</div>
<div class="container" id="calcarea">
<div class="container" id="calcarea">
<div>
<label for="max">PIP (max): </label>
<div class="value_and_fences">
......@@ -452,8 +487,9 @@ const urlParams = new URLSearchParams(queryString);
var TRACE_ID = urlParams.get('i')
var DSERVER_URL = window.location.protocol + "//" + window.location.host;
var NUM_TO_READ = 500;
var DESIRED_DURATION_S = 30;
var DATA_RETRIEVAL_PERIOD = 50;
var DATA_RETRIEVAL_PERIOD = 500;
var RESPIRATION_RATE_WINDOW_SECONDS = 60;
......@@ -463,6 +499,7 @@ var intervalID = null;
// This sould be better as time, but is easier
// to do as number of samples.
var MAX_SAMPLES_TO_STORE_S = 16000;
var MAX_REFRESH = false;
var samples = [];
var INITS_ONLY = true;
......@@ -559,7 +596,7 @@ function samplesToLine(samples) {
var fmin = Math.min(...fmillis);
var fzeroed = fmillis.map(m =>(m-fmin)/1000.0);
var pressures = samples.filter(s => s.event == 'M' && s.type == 'D' && s.loc == 'A');
var pressures = samples.filter(s => s.event == 'M' && s.type == 'D' && (s.loc == 'A' || s.loc == 'I'));
var pmillis = unpack(pressures, 'ms');
var pmin = Math.min(...pmillis);
......@@ -758,20 +795,20 @@ function plot(samples, trans, breaths) {
// Now I will attempt to add other markers, such as Humidity, Altitude, and other events,
// including possible warning events.
function gen_graph_measurement(samples, name, color, textposition, tp, lc, vf, tf) {
var selected = samples.filter(s => s.event == 'M' && s.type == tp && s.loc == lc);
function gen_graph_measurement(samples, name, color, textposition, tp, lc0, lc1, vf, tf) {
var selected = samples.filter(s => s.event == 'M' && s.type == tp && (s.loc == lc0 || s.loc == lc1));
return gen_graph(selected, name, color, textposition, vf, tf);
}
function gen_graph_measurement_timed(samples, name, color, textposition, tp, lc, vf, tf,time_window_ms) {
var messages = samples.filter(s => s.event == 'M' && s.type == tp && s.loc == lc);
function gen_graph_measurement_timed(samples, name, color, textposition, tp, lc0, lc1, vf, tf,time_window_ms) {
var messages = samples.filter(s => s.event == 'M' && s.type == tp && (s.loc == lc0 || s.loc == lc1));
var separated = [];
for(var i = 0; i < messages.length; i++) {
var m = messages[i];
if ((separated.length == 0) || ((separated.length > 0) && (separated[separated.length-1].ms < (m.ms - time_window_ms))))
separated.push(m);
}
return gen_graph_measurement(separated, name, color, textposition, tp, lc, vf, tf);
return gen_graph_measurement(separated, name, color, textposition, tp, lc0, lc1, vf, tf);
}
function gen_graph(selected,name,color, textposition, vf, tf) {
......@@ -835,7 +872,7 @@ function plot(samples, trans, breaths) {
{
var fio2AirwayPlot = gen_graph_measurement_timed(samples,
"FiO2 (%)",
"Black",'top center','O','A',
"Black",'top center','O','I','A',
(s => s.val),
(v => "FiO2 (A): "+v.toFixed(1)+"%"),
// O2 reported only once every 10 seconds
......@@ -844,28 +881,29 @@ function plot(samples, trans, breaths) {
}
{
var humAirwayPlot = gen_graph_measurement(samples,"Hum (%)","Aqua",'top center','H','A',
var humAirwayPlot = gen_graph_measurement(samples,"Hum (%)","Aqua",'top center','H','I','A',
(s => s.val/100.0),
(v => "H2O (A): "+v.toFixed(0)+"%"));
event_graph.push(humAirwayPlot);
}
{
var humAmbientPlot = gen_graph_measurement(samples,"Hum (%)","CornflowerBlue",'bottom center','H','B',
// "null" here will never be matched, which is correct
var humAmbientPlot = gen_graph_measurement(samples,"Hum (%)","CornflowerBlue",'bottom center','H','B',null,
(s => -s.val/100.0),
(v => "H2O (B): "+(-v).toFixed(0)+"%"));
event_graph.push(humAmbientPlot);
}
{
var tempAirwayPlot = gen_graph_measurement(samples,"Temp A","red",'bottom center','T','A',
var tempAirwayPlot = gen_graph_measurement(samples,"Temp A","red",'bottom center','T','I','A',
(s => s.val/100.0),
(v => "T (A): "+v.toFixed(1)+"C"));
event_graph.push(tempAirwayPlot);
}
{
var tempAmbientPlot = gen_graph_measurement(samples,"Temp B","orange",'top center','T','B',
var tempAmbientPlot = gen_graph_measurement(samples,"Temp B","orange",'top center','T','B',null,
(s => -s.val/100.0),
(v => "T (B): "+(-v).toFixed(1)+"C"));
event_graph.push(tempAmbientPlot);
......@@ -873,7 +911,7 @@ function plot(samples, trans, breaths) {
// Altitude is really just a check that the system is working
{
var altAmbientPlot = gen_graph_measurement(samples,"Altitude","purple",'right','A','B',
var altAmbientPlot = gen_graph_measurement(samples,"Altitude","purple",'right','I','B',null,
(s => s.val/20.0),
(v => "Alt: "+(v*20.0).toFixed(0)+"m"));
event_graph.push(altAmbientPlot);
......@@ -892,7 +930,7 @@ function plot(samples, trans, breaths) {
// compared
// {
// var gasAirwayPlot = gen_graph_measurement(samples,"Gas A","yellow",'bottom center','G','A',
// var gasAirwayPlot = gen_graph_measurement(samples,"Gas A","yellow",'bottom center','G','I',
// (s => s.val/1000.0),
// (v => "G (A): "+(v*100).toFixed(1)+"Ohms"));
// event_graph.push(gasAirwayPlot);
......@@ -1002,6 +1040,17 @@ function reflectAlarmsInGUI(alarms) {
})
});
}
const d = new Date();
const TZ_OFFSET_MS = d.getTimezoneOffset()*60*1000;
var LAST_SAMPLE_DATE;
function get_date_of_sample(timestring,time_mark,ms) {
var d = new Date(timestring);
var t = d.getTime();
var tm = t - TZ_OFFSET_MS + (ms - time_mark);
return new Date(tm);
}
function process(samples) {
const t = 200; // size of the window is 200ms
......@@ -1095,6 +1144,43 @@ function process(samples) {
}
reflectAlarmsInGUI(alarms);
// Return date in UTC time (as it comes to us)
function time_of_extreme_samples(samples) {
var messages = samples.filter(s => s.event == 'E' && s.type == 'C');
// if our traces don't have monotone ms fields, this is an
// unrecoverable error...
var cur = 0;
for(var i = 0; i < samples.length; i++) {
if (samples[i].ms <= 0) { // This is an error!!!
console.log("error, non-monotonic ms times");
return [null,null];
}
cur = samples[i].ms;
}
var first_ms = samples[0].ms;
var last_ms = samples[samples.length-1].ms;
if (messages.length == 0) {
return [null,null];
} else {
// We may need this to be more sophisticated; the is coming in
// from the PIRDS_webcgi as "Sat Jun 27 23:13:08 2020"
var timestring = messages[messages.length - 1].buff;
var time_mark = messages[messages.length - 1].ms;
return [get_date_of_sample(timestring,time_mark,first_ms),
get_date_of_sample(timestring,time_mark,last_ms)];
}
}
var [start,finish] = time_of_extreme_samples(samples);
$("#time_start").text((start) ? start.toISOString() : null);
$("#time_finish").text((finish) ? finish.toISOString() : null);
LAST_SAMPLE_DATE = finish;
console.log("process",start);
console.log("process",finish);
}
// WARNING: This is a hack...if the timestamp is negative,
......@@ -1121,24 +1207,59 @@ function sanitize_samples(samples) {
return samples;
}
// TODO: This is bad when it fires another request while a request is in play.
function retrieveAndPlot(){
var trace_piece = (TRACE_ID) ? "/" + TRACE_ID : "";
DSERVER_URL = $("#dserverurl").val();
var url = DSERVER_URL + trace_piece + "/json?n="+ NUM_TO_READ;
var url;
if ((MAX_REFRESH || samples.length == 0) || !LAST_SAMPLE_DATE) {
url = DSERVER_URL + trace_piece + "/json?n="+ MAX_SAMPLES_TO_STORE_S;
} else {
url = DSERVER_URL + trace_piece + "/json?n="+ NUM_TO_READ +
"&t=" + encodeURIComponent(LAST_SAMPLE_DATE.toUTCString());
}
// I am here attempting to change the behavior based on whether
// we are "live" or not. If we are live, we take the duration
// backwards from the current moment in time.
// If we are not live, we take the duration forward from the start
// sample field. We will use "a" for the start time, "z" for the
// finish time, n for the maximum number to read, and "d" for
// the duration in ms.
var REQUEST_FINAL_SAMPLE;
if (intervalID && LAST_SAMPLE_DATE) {
console.log("BEGIN",LAST_SAMPLE_DATE);
var currentDate = new Date();
var t = currentDate.getTime();
var tm = t - DESIRED_DURATION_S*1000;
var t_max = Math.max(tm,LAST_SAMPLE_DATE.getTime());
var date_minus_duration = new Date(t_max);
url = DSERVER_URL + trace_piece + "/json?n="+ NUM_TO_READ +
"&a=" + encodeURIComponent(date_minus_duration.toUTCString()) +
"&z=" + encodeURIComponent(currentDate.toUTCString());
REQUEST_FINAL_SAMPLE = currentDate;
console.log("A",date_minus_duration);
console.log("Z",currentDate);
} else {
}
console.log("url =",url);
$.ajax({url: url,
success: function(cur_sam){
// WARNING: This is a hack...if the timestamp is negative,
// we treat it as a limited (beyond range of sensor) measurement.
// Our goal is to warn about this, but for now we will just
// WARNING: This is a hack...if the timestamp is negative,
// we treat it as a limited (beyond range of sensor) measurement.
// Our goal is to warn about this, but for now we will just
// ignore and correct.
MAX_REFRESH = false;
if (cur_sam == null) {
console.log("No return");
return;
}
console.log("returned ",cur_sam.length);
if (cur_sam && cur_sam.length == 0) {
console.log("no samples; potential misconfiguration!");
// This is no longer true now that we are asking for time...
// console.log("no samples; potential misconfiguration!");
LAST_SAMPLE_DATE = REQUEST_FINAL_SAMPLE;
} else {
if (typeof(cur_sam) == "string") {
console.log("Error!");
......@@ -1159,15 +1280,43 @@ function retrieveAndPlot(){
samples = samples.concat(cur_sam);
// We are not guaranteeed to get samples in order
// we sort them....
samples = samples.sort((a,b) => a.ms - b.ms);
process(samples);
// We also need to de-dup them.
// This would be more efficient if done after sorting..
var n = samples.length;
samples = samples.filter((s, index, self) =>
self.findIndex(t => t.ms === s.ms
&& t.type === s.type
&& t.loc === s.loc
&& t.num === s.num
&& t.event === s.event
&& t.val === s.val) === index);
}
samples = samples.filter((s, index, self) =>
self.findIndex(t => t.ms === s.ms
&& t.type === s.type
&& t.loc === s.loc
&& t.num === s.num
&& t.event === s.event
&& t.val === s.val) === index);
if (n != samples.length) {
console.log("deduped:",n-samples.length);
}
samples = samples.sort((a,b) => a.ms - b.ms);
// Now we will trim off samples if we are live...
if (intervalID) {
var last_ms = samples[samples.length-1].ms
samples = samples.filter((s, index, self) =>
s.ms >= (last_ms - DESIRED_DURATION_S*1000));
}
process(samples);
console.log("END",LAST_SAMPLE_DATE);
}
},
error: function(xhr, ajaxOptions, thrownError) {
console.log("Error!" + xhr.status);
console.log(thrownError);
// clearInterval(intervalID);
stop_interval_timer();
$("#livetoggle").prop("checked",false);
}
......@@ -1175,360 +1324,6 @@ function retrieveAndPlot(){
}
// // A routine to calculate work per breath
// function PressureVolumeWork(breath, transitions, samples) {
// // -1 for quadilateral approximation
// if (breath.vol_i == 0) {
// return null;
// } else {
// var beginTransition = transitions[breath.trans_begin_inhale];
// var beginTime_ms = beginTransition.ms;
// var endTransition = transitions[breath.trans_cross_zero];
// var endTime_ms = endTransition.ms;
// var flows = samples.filter(s => s.event == 'M' && s.type == 'F' &&
// s.ms >= beginTime_ms && s.ms <= endTime_ms);
// var pressures = samples.filter(s => s.event == 'M' && s.type == 'D' &&
// s.loc == 'A'&& s.ms >= beginTime_ms && s.ms <= endTime_ms);
// // Note: The algorithm below relies on the fact that there is
// // only one flow or pressure with a single ms value; and that
// // increvementing an index necessarily incremenst the .ms value.
// // Without two samples, we have no duration and can't define
// // work.
// if (pressures.length < 2 || flows.length < 2) return null;
// var ct = Math.min(flows[0].ms,pressures[0].ms);
// var lfp = { val : flows[0].val, ms: flows[0].ms } ; // last flow point
// var lpp = { val : pressures[0].val, ms: pressures[0].ms }; // last pressure_point
// var fi = increment_past(flows,flows[0].ms,0); // Index of next flow sample
// var pi = increment_past(pressures,pressures[0].ms,0); // Index of next pressure sample
// var w = 0; // current work
// // compute flow at time ms give index and last point
// // This is just a simple linear interpolation
// function f(ms,cur,last) {
// var ms0 = last.ms;
// var ms1 = cur.ms;
// return last.val + (cur.val - last.val)*(ms - ms0)/(ms1 - ms0);
// }
// function increment_past(array,ms,index) {
// var begin = index;
// while(index < array.length && array[index].ms <= ms)
// index++;
// if (index == begin) debugger;
// if (index >= array.length)
// return null;
// else
// return index;
// }
// // A fundamental invariant:
// // pressures[pi].ms > lpp.ms
// // flows[pi].ms > lfp.ms
// while ((fi + pi) < (flows.length + pressures.length)) {
// // Invariant always increment fi or pi
// // fi and pi point to unprocessed value
// console.assert(pressures[pi].ms > lpp.ms);
// console.assert(flows[fi].ms > lfp.ms);
// var ms;
// if (pressures[pi].ms <= flows[fi].ms) { // process pressure
// ms = pressures[pi].ms;
// pi = increment_past(pressures,ms,pi);
// if (flows[fi].ms <= ms) {
// fi = increment_past(flows,ms,fi);
// }
// } else {
// ms = flows[fi].ms;
// fi = increment_past(flows,ms,fi);
// if (pressures[pi].ms <= ms) {
// pi = increment_past(pressures,ms,pi);
// }
// }
// if ((fi === null) || (pi === null))
// break;
// var dur_s = (ms - ct) / 1000;
// console.assert(pressures[pi].ms > lpp.ms);
// console.assert(flows[fi].ms > lfp.ms);
// var nf = f(ms,flows[fi],lfp);
// var np = f(ms,pressures[pi],lpp);
// var f1 = (lfp.val + nf)/2;
// var p1 = (lpp.val + np)/2;
// // convert 10ths of cm H2O to pascals..
// var p1_pa = (p1 * 98.0665) / 10;
// // convert flows in lpm to cubic meters per seconds
// var f1_m_cubed_per_s = f1 / (1000 * 1000 * 60);
// // work is now in Joules!
// w += dur_s * p1_pa * f1_m_cubed_per_s;
// lfp = { val : f1, ms: ms };
// lpp = { val : p1, ms: ms };
// ct = ms;
// }
// return w;
// }
// }
// // Let's first set up a perfectly square 1-second
// function generate_synthetic_trace() {
// const SAMPLES_PER_PHASE = 1000;
// const SAMPLES_MS_PER_SAMPLE = 1;
// var trace = [];
// var cur = 0;
// // p is a probability of occuring.
// function push_samples(start,num,d,f,pd,pf) {
// for(var i = start; i < start+num; i++) {
// if (Math.random() < pd) {
// trace.push(
// {
// event: "M",
// loc: "A",
// ms: i,
// num: 0,
// type: "D",
// val: d
// });
// }
// if (Math.random() < pf) {
// trace.push(
// {
// event: "M",
// loc: "A",
// ms: i,
// num: 0,
// type: "F",
// val: f
// });
// }
// }
// }
// const P1 = 1/2;
// const P2 = 1/2;
// push_samples(SAMPLES_PER_PHASE,SAMPLES_PER_PHASE,200,50000,P1,P2);
// push_samples(0,SAMPLES_PER_PHASE,-200,-50000,P1,P2);
// push_samples(SAMPLES_PER_PHASE,SAMPLES_PER_PHASE,200,50000,P1,P2);
// push_samples(SAMPLES_PER_PHASE*2,SAMPLES_PER_PHASE,-200,-50000,P1,P2);
// push_samples(SAMPLES_PER_PHASE*3,SAMPLES_PER_PHASE,200,50000,P1,P2);
// return trace;
// }
// function nearp(x,y,d) {
// return Math.abs(x - y) <= d;
// }
// function testWorkSynthetic(){ // breaths give us inspiration transition points
// var samples = generate_synthetic_trace();
// const JOULES_IN_BREATH = 1 * 1961.33 * 50000 / (60e+6);
// var flows = samples.filter(s => s.event == 'M' && s.type == 'F');
// var first_time = flows[0].ms;
// var last_time = flows[flows.length - 1].ms;
// var duration = last_time - first_time;
// console.log(flows);
// const vm = 10;
// // There is a problem here that this does not create a transition at the beginning.
// var transitions = compute_transitions(vm,flows);
// var breaths = compute_breaths_based_without_negative_flow(transitions,flows);
// console.log(breaths);
// for(i = 0; i<breaths.length; i++) {
// var w = PressureVolumeWork(breaths[i], transitions, samples);
// console.assert((w == null) || (nearp(w,JOULES_IN_BREATH),0.1));
// console.log("final (Joules) = ",w);
// }
// return true;
// }
// function testWork(samples){ // breaths give us inspiration transition points
// var flows = samples.filter(s => s.event == 'M' && s.type == 'F');
// var first_time = flows[0].ms;
// var last_time = flows[flows.length - 1].ms;
// var duration = last_time - first_time;
// console.log(flows);
// const vm = 10;
// var transitions = compute_transitions(vm,flows);
// var breaths = compute_breaths_based_without_negative_flow(transitions,flows);
// console.log(breaths);
// for(i = 0; i<breaths.length; i++) {
// var w = PressureVolumeWork(breaths[i], transitions, samples);
// console.log(w);
// }
// }
// // This should be in liters...
// function integrateSamples(a,z,flows) {
// // -1 for quadilateral approximation
// var vol = 0;
// for(var j = a; j < z-1; j++) {
// // I'll use qadrilateral approximation.
// // We'll form each quadrilateral between two samples.
// var ms = flows[j+1].ms - flows[j].ms;
// var ht = ((flows[j+1].val + flows[j].val )/2) * CONVERT_PIRDS_TO_SLM;
// // Flow is actually in standard liters per minute,
// // so to get liters we divide by 60 to it l/s,
// // and and divde by 1000 to convert ms to seconds.
// // We could do that here, but will move constants
// // to end...
// vol += ms * ht;
// if (isNaN(vol)) {
// debugger;
// }
// }
// return vol/(60*1000);
// }
// This is based only on inhalations, and
// is therefore functional when there is a check valve
// in place. Such a system will rarely
// have negative flows, and we must mark
// the beginning of a breath from a transition to a "1"
// state from any other state.
// This algorithm is simple: A breath begins on a trasition
// to 1 from a not 1 state. This algorithm is susceptible
// to "stutter" near the boundary point, but if necessary
// a digital filter would sove that; we have not yet found
// that level of sophistication needed.
// We still want to track zeros, but now must strack them
// as a falling signal.
// function compute_breaths_based_without_negative_flow(transitions,flows) {
// var beg = 0;
// var zero = 0;
// var last = 0;
// var voli = 0;
// var vole = 0;
// var breaths = [];
// var expiring = true;
// for(var i = 0; i < transitions.length; i++) {
// // We're looking for the end of the inhalation here!!
// if (((i -1) >= 0) && transitions[i-1].state == 1 &&
// (transitions[i].state == 0 || transitions[i].state == -1 )) {
// zero = i;
// }
// if (expiring && transitions[i].state == 1) {
// breaths.push({ ms: transitions[i].ms,
// sample: transitions[i].sample,
// vol_e: vole,
// vol_i: voli,
// trans_begin_inhale: beg,
// trans_cross_zero: zero,
// trans_end_exhale: i,
// }
// );
// var w = PressureVolumeWork(breaths[breaths.length-1], transitions, samples);
// breaths[breaths.length-1].work = w;
// beg = i;
// expiring = false;
// vole = integrateSamples(last,transitions[i].sample,flows);
// last = transitions[i].sample;
// }
// if (!expiring && ((transitions[i].state == -1) || (transitions[i].state == 0))) {
// expiring = true;
// voli = integrateSamples(last,transitions[i].sample,flows);
// last = transitions[i].sample;
// }
// }
// return breaths;
// }
// // A simple computation of a moving window trace
// // computing [A + -B], where A is volume to left
// // of sample int time window t, and B is volume to right
// // t is in milliseconds
// function computeMovingWindowTrace(samples,t,v) {
// var flows = samples.filter(s => s.event == 'M' && s.type == 'F');
// var first_time = flows[0].ms;
// var last_time = flows[flows.length - 1].ms;
// var duration = last_time - first_time;
// // Here is an idea...
// // We define you to be in one of three states:
// // Inspiring, expiring, or neither.
// // Every transition between these states is logged.
// // Having two inspirations between an expiration is
// // weird but could happen.
// // We record transitions.
// // When the time series crossed a fixed threshold
// // or zero, it causes a transition. If you are inspiring,
// // you have to cross zero to transition to neither,
// // and you start expiring when you cross the treshold.
// // This is measured in standard liters per minute.
// const vm = 10; // previously used 4
// // We will model this as a list of transitions.
// // A breath is any number of inspirations followed by
// // any number of expirations. (I+)(E+)
// var transitions = compute_transitions(vm,flows);
// // Now that we have transitions, we can apply a
// // diferrent algorithm to try to define "breaths".
// // Because a breath is defined as an inspiration
// // and then an expiration, we will define a breath
// // as from the first inspiration, until there has
// // been one expiration, until the next inspiration.
// var breaths = [];
// var expiring = false;
// function compute_breaths_based_on_exhalations(transitions) {
// var beg = 0;
// var zero = 0;
// var last = 0;
// var voli = 0;
// var vole = 0;
// for(var i = 0; i < transitions.length; i++) {
// // We're looking for the end of the inhalation here!!
// if (((i -1) >= 0) && transitions[i-1].state == 1 && (transitions[i].state == 0 || transitions[i].state == -1 )) {
// zero = i;
// }
// if (expiring && transitions[i].state == 1) {
// breaths.push({ ms: transitions[i].ms,
// sample: transitions[i].sample,
// vol_e: vole,
// vol_i: voli,
// trans_begin_inhale: beg,
// trans_cross_zero: zero,
// trans_end_exhale: i,
// }
// );
// var w = PressureVolumeWork(breaths[0], transitions, samples);
// breaths[0].work = w;
// beg = i;
// expiring = false;
// vole = integrateSamples(last,transitions[i].sample,flows);
// last = transitions[i].sample;
// }
// if (!expiring && transitions[i].state == -1) {
// expiring = true;
// voli = integrateSamples(last,transitions[i].sample,flows);
// last = transitions[i].sample;
// }
// }
// }
// breaths = compute_breaths_based_without_negative_flow(transitions,flows);
// return [transitions,breaths];
// }
$("#useofficial").click(function() {
DSERVER_URL = VENTMON_DATA_LAKE;
$("#dserverurl").val(DSERVER_URL);
......@@ -1596,6 +1391,15 @@ $( document ).ready(function() {
DSERVER_URL = "http://localhost";
$("button").click(function(event)
{
var a = event.currentTarget.innerText.split("s");
console.log(a[0]);
DESIRED_DURATION_S = a[0];
console.dir(DESIRED_DURATION_S);
});
$( "#dserverurl" ).val( DSERVER_URL );
$('#dserverurl').change(function () {
DSERVER_URL = $("#dserverurl").val();
......@@ -1612,6 +1416,7 @@ $( document ).ready(function() {
$( "#samples_to_plot" ).val( MAX_SAMPLES_TO_STORE_S );
$('#samples_to_plot').change(function () {
MAX_SAMPLES_TO_STORE_S = $("#samples_to_plot").val();
MAX_REFRESH = true;
});
samples = init_samples();
......
js/respiration_math.js
+ 10
− 10
View file @ e4983024
......@@ -62,7 +62,7 @@ function compute_transitions(vm,flows) {
// Return, [min,avg,max] pressures (no smoothing)!
function compute_pressures(secs,samples,alarms,limits) {
var pressures = samples.filter(s => s.event == 'M' && s.type == 'D' && s.loc == 'A');
var pressures = samples.filter(s => s.event == 'M' && s.type == 'D' && (s.loc == 'I' || s.loc == 'A'));
if (pressures.length == 0) {
return [0,0,0,[]];
......@@ -97,7 +97,7 @@ function compute_pressures(secs,samples,alarms,limits) {
function compute_fio2_mean(secs,samples) {
var oxygens = samples.filter(s => s.event == 'M' && s.type == 'O' && s.loc == 'A');
var oxygens = samples.filter(s => s.event == 'M' && s.type == 'O' && (s.loc == 'I' || s.loc == 'A'));
if (oxygens.length == 0) {
return null;
......@@ -206,7 +206,7 @@ function compute_respiration_rate(secs,samples,transitions,breaths) {
// taip == true implies compute TAIP, else compute TRIP
// Possibly this routine should be generalized to a general rise-time routine.
function compute_TAIP_or_TRIP_signals(min,max,pressures,taip) {
var pressures = pressures.filter(s => s.event == 'M' && s.type == 'D' && s.loc == 'A');
var pressures = pressures.filter(s => s.event == 'M' && s.type == 'D' && (s.loc == 'I' || s.loc == 'A'));
const responseBegin = 0.1;
const responseEnd = 0.9;
......@@ -268,11 +268,11 @@ function testdata(){
var data = []; // pushing 50 things into it
for(var i = 0; i < 10; i++) {
var ms = i*5*10;
data[i*5+0] = {event:'M',loc:'A',ms:ms + 0,type:'D',val: 0};
data[i*5+1] = {event:'M',loc:'A',ms:ms + 10,type:'D',val: 100};
data[i*5+2] = {event:'M',loc:'A',ms:ms + 20,type:'D',val: 200};
data[i*5+3] = {event:'M',loc:'A',ms:ms + 30,type:'D',val: 100};
data[i*5+4] = {event:'M',loc:'A',ms:ms + 40,type:'D',val: 0};
data[i*5+0] = {event:'M',loc:'I',ms:ms + 0,type:'D',val: 0};
data[i*5+1] = {event:'M',loc:'I',ms:ms + 10,type:'D',val: 100};
data[i*5+2] = {event:'M',loc:'I',ms:ms + 20,type:'D',val: 200};
data[i*5+3] = {event:'M',loc:'I',ms:ms + 30,type:'D',val: 100};
data[i*5+4] = {event:'M',loc:'I',ms:ms + 40,type:'D',val: 0};
}
return data;
}
......@@ -283,7 +283,7 @@ function testdataSine(period_sm){ // period expressed in # of samples, each samp
var data = []; // pushing 50 things into it
for(var i = 0; i < 1000; i++) {
var ms = i*10;
data[i] = {event:'M',loc:'A',ms:ms + 20,type:'D',val: 200*Math.sin(2*Math.PI*i/period_sm)};
data[i] = {event:'M',loc:'I',ms:ms + 20,type:'D',val: 200*Math.sin(2*Math.PI*i/period_sm)};
}
return data;
}
......@@ -370,7 +370,7 @@ function PressureVolumeWork(breath, transitions, samples) {
var flows = samples.filter(s => s.event == 'M' && s.type == 'F' &&
s.ms >= beginTime_ms && s.ms <= endTime_ms);
var pressures = samples.filter(s => s.event == 'M' && s.type == 'D' &&
s.loc == 'A'&& s.ms >= beginTime_ms && s.ms <= endTime_ms);
(s.loc == 'I' || s.loc == 'A') && s.ms >= beginTime_ms && s.ms <= endTime_ms);
// Note: The algorithm below relies on the fact that there is
// only one flow or pressure with a single ms value; and that
......
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