Merge pull request #3042 from jabituyaben/master

Updared to HRM recorder app

apps/hrrawexp/ChangeLog

@@ -0,0 +1,3 @@
+0.01: New App!
+0.02: Fixes
+0.03: updated to work with new API and additional features added such as longer recording time and additional filtered data

apps/hrrawexp/README.md

@@ -3,11 +3,11 @@ Extract hrm raw signal data to CSV file
 
 Simple app that will run the heart rate monitor for a defined period of time you set at the start.
 
--The app creates a csv file (it's actually just 1 column) and you can download this via My Apps in the App Loader.
+Updated to work with new API. Additional capability includes:
 
--The max time value is 60 minutes.
+1. Now also records upto 2 hours - if you cancel at any time the CSV file will still be there, the timer you set at the start is more so that you get an alert when it's complete.
-
+2. Along with raw PPG readings, it also records bandpassed filtered data in a second column, available in the new API.
--The first item holds the data/time when the readings were taken and the file is reset each time the app is run.
+3. Rather than overwriting 1 data file, the app will record upto 5 files before recording to a generic data file as a fallback if all 5 allocated files remain on the watch storage. The limit is in place to avoid going over storage limits as these files can get large over time.
 
 -The hrm sensor is sampled @50Hz and this app does not do any processing on it other than clip overly high/extreme values, the array is written as-is. There is an example Python script that can process this signal, smooth it and also extract a myriad of heart rate variability metrics using the hrvanalysis library:
 https://github.com/jabituyaben/BangleJS-HRM-Signal-Processing

apps/hrrawexp/app.js

@@ -1,12 +1,25 @@
-var counter = 1;
+var counter = 15;
 var logging_started;
 var interval;
 var value;
+var filt;
 
-var file = require("Storage").open("hrm_log.csv", "w");
+var fileClosed = 0;
-file.write("");
+var Storage = require("Storage");
+var file;
 
-file = require("Storage").open("hrm_log.csv", "a");
+function exists(name){
+  s = require('Storage');
+  var fileList = s.list();
+  var fileExists = false;
+  for (let i = 0; i < fileList.length; i++) {
+        fileExists = fileList[i].includes(name);
+        if(fileExists){
+          break;
+        }
+  }
+  return fileExists;
+}
 
 function update_timer() {
     g.clear();
@@ -33,47 +46,75 @@ function update_timer() {
 
 function btn1Pressed() {
     if (!logging_started) {
-        if (counter < 60)
+        if (counter < 120)
-            counter += 1;
+            counter += 15;
         else
-            counter = 1;
+            counter = 15;
         update_timer();
     }
 }
 
 function btn3Pressed() {
     if (!logging_started) {
-        if (counter > 1)
+        if (counter > 15)
-            counter -= 1;
+            counter -= 15;
         else
-            counter = 60;
+            counter = 120;
         update_timer();
     }
 }
 
 function btn2Pressed() {
-    launchtime = 0 | getTime();
+  if (!logging_started) {
-    file.write(launchtime + "," + "\n");
+      var filename = "";
+      var fileset = false;
+
+      for (let i = 0; i < 5; i++) {
+        filename = "HRM_data" + i.toString() + ".csv";
+        if(exists(filename) == 0){
+          file = require("Storage").open(filename,"w");
+          console.log("creating new file " + filename);
+          fileset = true;
+        }
+        if(fileset){
+          break;
+        }
+      }
+
+      if (!fileset){
+        console.log("overwiting file");
+        file = require("Storage").open("HRM_data.csv","w");
+      }
+
+      file.write("");
+      file = require("Storage").open(filename,"a");
+
+      //launchtime = 0 | getTime();
+      //file.write(launchtime + "," + "\n");
       logging_started = true;
       counter = counter * 60;
       interval = setInterval(countDown, 1000);
       Bangle.setHRMPower(1);
+  }
 }
 
 function fmtMSS(e) {
-    var m = Math.floor(e % 3600 / 60).toString().padStart(2, '0'),
+    h = Math.floor(e / 3600);
-        s = Math.floor(e % 60).toString().padStart(2, '0');
+    e %= 3600;
-    return m + ':' + s;
+    m = Math.floor(e / 60);
+    s = e % 60;
+    return h + ":" +  m + ':' + s;
 }
 
 function countDown() {
     g.clear();
     counter--;
-    if (counter == 0) {
+    if (counter <= 0 && fileClosed == 0) {
         Bangle.setHRMPower(0);
         clearInterval(interval);
         g.drawString("Finished", g.getWidth() / 2, g.getHeight() / 2);
         Bangle.buzz(500, 1);
+        fileClosed = 1;
     }
     else
         g.drawString(fmtMSS(counter), g.getWidth() / 2, g.getHeight() / 2);
@@ -85,13 +126,8 @@ setWatch(btn1Pressed, BTN1, { repeat: true });
 setWatch(btn2Pressed, BTN2, { repeat: true });
 setWatch(btn3Pressed, BTN3, { repeat: true });
 
-Bangle.on('HRM', function (hrm) {
+Bangle.on('HRM-raw', function (hrm) {
-    for (let i = 0; i < hrm.raw.length; i++) {
+        value = hrm.raw;
-        value = hrm.raw[i];
+        filt = hrm.filt;
-        if (value < -2)
+        file.write(value + "," + filt + "," + "\n");
-            value = -2;
-        if (value > 6)
-            value = 6;
-        file.write(value + "," + "\n");
-    }
 });

apps/hrrawexp/metadata.json

@@ -2,7 +2,7 @@
   "id": "hrrawexp",
   "name": "HRM Data Exporter",
   "shortName": "HRM Data Exporter",
-  "version": "0.01",
+  "version": "0.03",
   "description": "export raw hrm signal data to a csv file",
   "icon": "app-icon.png",
   "tags": "",