diff --git a/apps/HRV/HRV.js b/apps/HRV/HRV.js
new file mode 100644
index 000000000..98f577293
--- /dev/null
+++ b/apps/HRV/HRV.js
@@ -0,0 +1,205 @@
+var file = require("Storage").open("HR_log.csv", "w");
+file.write(""); //reset log
+
+file = require("Storage").open("HR_log.csv", "a");
+
+//debugging or analysis files
+var cutoff_file = require("Storage").open("cuttoff.csv", "w");
+var peaks_file = require("Storage").open("peaks.csv", "w");
+var debugging = true;
+
+var first_signals = 0; // ignore the first several signals
+var heartrate = [];
+var BPM_array = [];
+var raw_HR_array = new Float32Array(1024);
+var alternate_array = new Float32Array(3072);
+var pulse_array = [];
+var pulsecount = 0;
+var cutoff_threshold = 0.5;
+var sample_frequency = 51.6;
+var gap_threshold = 0.15;
+var hr_min = 40;
+var hr_max = 160;
+
+g.setFontAlign(0, 0); // center font
+g.setFont("6x8", 2);
+
+function storeMyData(data, file_type) {
+    log = raw_HR_array;
+    // shift elements backwards - note the 4, because a Float32 is 4 bytes
+    log.set(new Float32Array(log.buffer, 4 /*bytes*/));
+    // add ad final element
+    log[log.length - 1] = data;
+}
+
+function average(samples) {
+    var sum = 0;
+    for (var i = 0; i < samples.length; i++) {
+        sum += parseFloat(samples[i]);
+    }
+    var avg = sum / samples.length;
+    return avg;
+}
+
+function StandardDeviation(data) {
+    var m = average(data);
+    return Math.sqrt(data.reduce(function (sq, n) {
+        return sq + Math.pow(n - m, 2);
+    }, 0) / (data.length - 1));
+}
+
+function turn_off() {
+    Bangle.setHRMPower(0);
+
+    g.clear();
+    g.drawString("processing 1/5", 120, 120);
+
+    rolling_average(raw_HR_array,5);
+    g.clear();
+    g.drawString("processing 2/5", 120, 120);
+
+    upscale();
+    g.clear();
+    g.drawString("processing 3/5", 120, 120);
+
+    rolling_average(alternate_array,5);
+    g.clear();
+    g.drawString("processing 4/5", 120, 120);
+
+    apply_cutoff();
+    if(debugging)
+        for (let i = 0; i < 256; i++) {
+            cutoff_file.write(alternate_array[i] + "," + "\n");
+        }
+
+    find_peaks();
+    if(debugging)
+        for (let i = 0; i < pulse_array.length; i++) {
+            peaks_file.write(pulse_array[i] + "," + "\n");
+        }
+    g.clear();
+    g.drawString("processing 5/5", 120, 120);
+
+    calculate_HRV();
+}
+
+function bernstein(A, B, C, D, E, t) {
+    s = 1 - t;
+    x = (A * Math.pow(s, 4)) + (B * 4 * Math.pow(s, 3) * t) + (C * 6 * s * s * t * t)
+        + (D * 4 * s * Math.pow(t, 3)) + (E * Math.pow(t, 4));
+    return x;
+}
+
+function upscale() {
+    var index = 0;
+    for (let i = raw_HR_array.length - 1; i > 5; i -= 5) {
+        p0 = raw_HR_array[i];
+        p1 = raw_HR_array[i - 1];
+        p2 = raw_HR_array[i - 2];
+        p3 = raw_HR_array[i - 3];
+        p4 = raw_HR_array[i - 4];
+        for (let T = 0; T < 100; T += 10) {
+            x = T / 100;
+            D = bernstein(p0, p1, p2, p3, p4, x);
+            alternate_array[index] = D;
+            index++;
+        }
+    }
+}
+
+function rolling_average(values, count) {
+    temp_array = [];
+
+    for (let i = 0; i < values.length; i++) {
+            temp_array = [];
+            for (let x = 0; x < count; x++)
+                temp_array.push(values[i + x]);
+            
+                values[i] = average(temp_array);
+    }
+}
+
+function apply_cutoff() {
+    var x;
+    for (let i = 0; i < alternate_array.length; i++) {
+        x = alternate_array[i];
+        if (x < cutoff_threshold)
+            x = cutoff_threshold;
+        alternate_array[i] = x;
+    }
+}
+
+function find_peaks() {
+    var previous;
+    var previous_slope = 0;
+    var slope;
+    var gap_size = 0;
+    var temp_array = [];
+
+    for (let i = 0; i < alternate_array.length; i++) {
+        if (previous == null)
+            previous = alternate_array[i];
+        slope = alternate_array[i] - previous;
+        if (slope * previous_slope < 0) {
+            if (gap_size > 30) {
+                pulse_array.push(gap_size);
+                gap_size = 0;
+            }
+        }
+        else {
+            gap_size++;
+        }
+        previous_slope = slope;
+        previous = alternate_array[i];
+    }
+}
+
+function calculate_HRV() {
+    var gap_average = average(pulse_array);
+    var temp_array = [];
+    var gap_max = (1 + gap_threshold) * gap_average;
+    var gap_min = (1 - gap_threshold) * gap_average;
+    for (let i = 0; i < pulse_array.length; i++) {
+        if (pulse_array[i] > gap_min && pulse_array[i] < gap_max)
+            temp_array.push(pulse_array[i]);
+    }
+    gap_average = average(temp_array);
+    var calculatedHR = (sample_frequency*60)/(gap_average/2);
+    g.flip();
+    g.clear();
+    //var display_stdv = StandardDeviation(pulse_array).toFixed(1);
+    var HRV = (StandardDeviation(temp_array) * (1 / (sample_frequency * 2) * 1000)).toFixed(0);
+    g.drawString("HRV:" + HRV + "\nHR:" + calculatedHR.toFixed(0)
+                 +"\nSample Count:" + temp_array.length, 120, 120);
+    Bangle.buzz(500,1);
+}
+
+g.clear();
+g.drawString("preparing", 120, 120);
+
+Bangle.setHRMPower(1);
+
+Bangle.on('HRM', function (hrm) {
+        g.flip();
+        if (first_signals < 5) {
+            g.clear();
+            g.drawString("setting up...\nremain still " + first_signals * 20 + "%", 120, 120);
+            first_signals++;
+        }
+        else {
+            BPM_array = hrm.raw;
+            if(hrm.bpm > hr_min && hrm.bpm < hr_max)
+                heartrate.push(hrm.bpm);
+            if (pulsecount < 7) {
+                for (let i = 0; i < 256; i++) {
+                    file.write(BPM_array[i]+","+"\n");
+                    storeMyData(BPM_array[i], 0);
+                }
+            g.clear();
+            g.drawString("logging: " + ((pulsecount/6)*100).toFixed(0) + "%", 120, 120);
+            }
+            if(pulsecount == 6)
+                turn_off();
+            pulsecount++;
+        }
+});