bt.ble_close() # Try to close the BLE connection cleanly (may fail)
print("Ran cleanup")
"""
This is where the main code starts
"""
while True:
try:
# Take care of some initializations
initialize_buffers()
initialize_ble()
# Instantiate filters
lowpass_filt = Filter(sampling_frequency=sampling_freq,
filter_frequency=4,
filter_type='low')
highpass_filt = Filter(sampling_frequency=sampling_freq,
filter_frequency=0.5,
filter_type='high')
# Instantiate Hr class
hr_calc = Hr(train_file="../Objective1/ir_data_train.csv", plot=False)
# If we are plotting our data
# Call the animation with our update_data() function
# This will call our function repeatedly and plot the results
if live_plot:
# create animation object
# Plot about 1/5 of the data in the buffer
an = AnimatedFigure(update_data, plot_samples=200, debug=False)
# Plot two graphs: (sensor data vs time) and (filtered data vs time)
return [(data_buffer[0], data_buffer[1]), (data_buffer[0], data_buffer[2])]
# This format [(x1, y1), (x2, y2), (x3, y3)] is expected by the animation module
"""
This is where the main code starts
"""
try:
# Take care of some initializations
initialize_buffers()
# Take care of some initializations
initialize_ble()
# Create the filter *
filter = Filter(sampling_frequency=sampling_freq,
filter_frequency=4,
filter_type='low')
filter1 = Filter(sampling_frequency=sampling_freq,
filter_frequency=0.5,
filter_type='high')
# Monitor for any text received over BLE
count = 0
if (write_flag1): f1 = open("Heartrate_test_HPF.csv", "w")
if (read_flag):
f = open("Heartrate_test.csv", "r")
f.readline()
# If we are plotting our data
# Call the animation with our update_data() function
# This will call our function repeatedly and plot the results
if live_plot: