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Initial commit – basic ECG visualisation
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kieranabrennan committed Dec 23, 2023
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3 changes: 3 additions & 0 deletions .gitignore
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/venv
/__pycache__
.DS_Store
23 changes: 23 additions & 0 deletions HeartbeatDetection.py
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import os
os.environ['QT_API'] = 'PySide6' # For qasync to know which binding is being used
os.environ['QT_LOGGING_RULES'] = 'qt.pointer.dispatch=false' # Disable pointer logging

import sys
import asyncio
from PySide6.QtWidgets import QApplication
from qasync import QEventLoop
from View import View

if __name__ == "__main__":

app = QApplication(sys.argv)
loop = QEventLoop(app)
asyncio.set_event_loop(loop)

plot = View()
plot.setWindowTitle("Rolling Plot")
plot.resize(1200, 600)
plot.show()

loop.run_until_complete(plot.main())
21 changes: 21 additions & 0 deletions LICENSE
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MIT License

Copyright (c) 2023 Kieran Brennan

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
61 changes: 61 additions & 0 deletions Model.py
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import numpy as np
import asyncio
from PolarH10 import PolarH10
import time

class Model:

def __init__(self):

self.polar_sensor = None

# Sample rates
self.ACC_UPDATE_LOOP_PERIOD = 0.001 # s, time to sleep between accelerometer updates
self.ACC_HIST_SAMPLE_RATE = 1000 # Hz, rate to subsample acceleration (raw data @ 200 Hz)

# History sizes
self.BR_ACC_HIST_SIZE = 1200 #
self.BR_HIST_SIZE = 500 # Fast breathing 20 breaths per minute, sampled once every breathing cycle, over 10 minutes this is 200 values

# Initialisation
self.t_last_breath_acc_update = 0

# History array initialisation
self.breath_acc_hist = np.full(self.BR_ACC_HIST_SIZE, np.nan)
self.breath_acc_times = np.full(self.BR_ACC_HIST_SIZE, np.nan)
self.breath_acc_times_rel_s = np.full(self.BR_ACC_HIST_SIZE, np.nan)

def set_polar_sensor(self, device):
self.polar_sensor = PolarH10(device)

async def connect_sensor(self):
await self.polar_sensor.connect()
await self.polar_sensor.get_device_info()
await self.polar_sensor.print_device_info()

async def disconnect_sensor(self):
await self.polar_sensor.disconnect()

async def update_acc(self): # pmd: polar measurement data

await self.polar_sensor.start_ecg_stream()

while True:
await asyncio.sleep(self.ACC_UPDATE_LOOP_PERIOD)

# Updating the acceleration history
while not self.polar_sensor.ecg_queue_is_empty():
# Get the latest sensor data
t, ecg = self.polar_sensor.dequeue_ecg()

if t - self.t_last_breath_acc_update > 1/self.ACC_HIST_SAMPLE_RATE:
self.breath_acc_hist = np.roll(self.breath_acc_hist, -1)
self.breath_acc_hist[-1] = ecg
self.breath_acc_times = np.roll(self.breath_acc_times, -1)
self.breath_acc_times[-1] = t
self.t_last_breath_acc_update = t





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