apps: heart: Initial heart rate detection
The algorithm is fairly crude and the GUI is pretty simple but, if you stay still for 10 seconds, there's a good chance of an accurate pulse reading. Of course if you jog on the spot for ten seconds it more likely to calculate how many steps per minutes you are performing! Signed-off-by: Daniel Thompson <daniel@redfelineninja.org.uk>
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1 changed files with 73 additions and 14 deletions
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@ -2,6 +2,7 @@
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# Copyright (C) 2020 Daniel Thompson
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# Copyright (C) 2020 Daniel Thompson
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import wasp
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import wasp
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import array
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import machine
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import machine
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class Biquad():
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class Biquad():
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@ -26,7 +27,7 @@ class Biquad():
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class PTAGC():
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class PTAGC():
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"""Peak Tracking Automatic Gain Control
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"""Peak Tracking Automatic Gain Control
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In order for the correlation checks to work correctly we must
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In order for the correlation checks to work correctly we must
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aggressively reject spikes caused by fast DC steps. Setting a
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aggressively reject spikes caused by fast DC steps. Setting a
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threshold based on the median is very effective at killing
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threshold based on the median is very effective at killing
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@ -39,7 +40,7 @@ class PTAGC():
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self._boost = 1 / decay
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self._boost = 1 / decay
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self._threshold = threshold
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self._threshold = threshold
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def step(self, spl):
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def step(self, spl):
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# peak tracking
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# peak tracking
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peak = self._peak
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peak = self._peak
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if abs(spl) > peak:
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if abs(spl) > peak:
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@ -52,12 +53,62 @@ class PTAGC():
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threshold = self._threshold
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threshold = self._threshold
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if spl > (peak * threshold) or spl < (peak * -threshold):
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if spl > (peak * threshold) or spl < (peak * -threshold):
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return 0
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return 0
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# booster
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# booster
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spl = 100 * spl / (2 * peak)
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spl = 100 * spl / (2 * peak)
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return spl
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return spl
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def _compare(d1, d2, count, shift):
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e = 0
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for i in range(count):
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d = d1[i] - d2[i]
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e += d*d
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return e
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def compare(d, shift):
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return _compare(d[shift:], d[:-shift], len(d)-shift, shift)
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def trough(d, mn, mx):
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z2 = compare(d, mn-2)
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z1 = compare(d, mn-1)
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for i in range(mn, mx+1):
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z = compare(d, i)
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if z2 > z1 and z1 < z:
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return i
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z2 = z1
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z1 = z
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return -1
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def get_hrs(d):
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din = memoryview(d)
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# Search initially from ~210 to 30 bpm
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t0 = trough(din, 7, 48)
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if t0 < 0:
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return None
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# Check the second cycle ...
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t1 = t0 * 2
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t1 = trough(din, t1 - 5, t1 + 5)
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if t1 < 0:
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return None
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# ... and the third
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t2 = (t1 * 3) // 2
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t2 = trough(din, t2 - 5, t2 + 4)
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if t2 < 0:
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return None
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# If we can find a fourth cycle then use that for the extra
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# precision otherwise report whatever we've found
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t3 = (t2 * 4) // 3
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t3 = trough(din, t3 - 4, t3 + 4)
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if t3 < 0:
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return (60 * 24 * 3) // t2
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return (60 * 24 * 4) // t3
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class HeartApp():
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class HeartApp():
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"""Heart Rate Sensing application.
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"""Heart Rate Sensing application.
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@ -74,13 +125,15 @@ class HeartApp():
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draw.fill()
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draw.fill()
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draw.string('PPG graph', 0, 6, width=240)
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draw.string('PPG graph', 0, 6, width=240)
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self._hpf = Biquad(0.87518309, -1.75036618, 0.87518309, -1.73472577, 0.7660066)
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self._hpf = Biquad(0.87033078, -1.74066156, 0.87033078, -1.72377617, 0.75754694)
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self._agc = PTAGC(20, 0.971, 2)
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self._agc = PTAGC(20, 0.971, 2)
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self._lpf = Biquad(0.10873253, 0.21746505, 0.10873253, -0.76462555, 0.19955565)
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self._lpf = Biquad(0.11595249, 0.23190498, 0.11595249, -0.72168143, 0.18549138)
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self._x = 0
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self._x = 0
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self._offset = wasp.watch.hrs.read_hrs()
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self._offset = wasp.watch.hrs.read_hrs()
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self._hrdata = array.array('b')
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wasp.system.request_tick(1000 // 8)
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wasp.system.request_tick(1000 // 8)
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def background(self):
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def background(self):
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@ -89,13 +142,22 @@ class HeartApp():
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del self._agc
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del self._agc
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del self._lpf
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del self._lpf
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def _tick(self, ticks):
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def _subtick(self, ticks):
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"""Notify the application that its periodic tick is due."""
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"""Notify the application that its periodic tick is due."""
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draw = wasp.watch.drawable
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spl = wasp.watch.hrs.read_hrs()
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spl = wasp.watch.hrs.read_hrs()
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spl -= self._offset
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spl -= self._offset
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spl = self._hpf.step(spl)
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spl = self._hpf.step(spl)
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spl = self._agc.step(spl)
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spl = self._agc.step(spl)
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spl = self._lpf.step(spl)
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spl = self._lpf.step(spl)
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spl = int(spl)
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self._hrdata.append(spl)
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if len(self._hrdata) >= 240:
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draw.string('{} bpm'.format(get_hrs(self._hrdata)), 0, 6, width=240)
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del self._hrdata
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self._hrdata = array.array('b')
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color = 0xffc0
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color = 0xffc0
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@ -104,14 +166,11 @@ class HeartApp():
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color = 0xffff
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color = 0xffff
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if spl > 104 or spl < -104:
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if spl > 104 or spl < -104:
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spl = 0
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spl = 0
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spl = int(spl) + 104
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spl += 104
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x = self._x
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x = self._x
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draw = wasp.watch.drawable
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draw.fill(0, x, 32, 1, 208-spl)
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draw.fill(0, x, 32, 1, 208-spl)
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draw.fill(color, x, 239-spl, 1, spl)
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draw.fill(color, x, 239-spl, 1, spl)
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x += 2
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x += 2
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if x >= 240:
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if x >= 240:
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x = 0
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x = 0
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@ -124,16 +183,16 @@ class HeartApp():
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"""
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"""
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t = machine.Timer(id=1, period=8000000)
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t = machine.Timer(id=1, period=8000000)
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t.start()
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t.start()
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self._tick(1)
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self._subtick(1)
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wasp.system.keep_awake()
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wasp.system.keep_awake()
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while t.time() < 41666:
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while t.time() < 41666:
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pass
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pass
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self._tick(1)
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self._subtick(1)
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while t.time() < 83332:
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while t.time() < 83332:
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pass
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pass
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self._tick(1)
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self._subtick(1)
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t.stop()
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t.stop()
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del t
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del t
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