# Set peripheral MAC as well as HM-10 serial port
peripheral_MAC = "A810872197C7"
serial_port = "COM9"
# Define if data should be live-plotted
live_plot = True
# Define if data should be written out to file
write_flag = True
# Define if we should read from BLE or from a file
# If False, we read from BLE; if True, we read from file and will use the sampling_period (in seconds)
read_flag = False
sampling_freq = 20 # [Hz]
sampling_period = 1 / sampling_freq # [s]
hr_calc = Hr("ir_data_train.csv")
neeee = 0
# Open the files and read and write if necessary
if write_flag:
write_filename = "data_train_walk.csv"
# We use this to make sure the file is saved in the script directory and not the dir Python is executing from
current_dir = os.path.dirname(os.path.abspath(__file__))
write_file_path = current_dir + "\\" + write_filename
write_file = open(write_file_path, 'w')
write_file.write('{0}, {1}, {2} \n'.format("t", "reading", "imuVal")) # Write the headers for csv file
if read_flag:
read_filename = "Heartrate_test_LPF.csv"
# We use this to make sure the file is saved in the script directory and not the dir Python is executing from
"""
This is where the main code starts
"""
while True:
try:
# Take care of some initializations
initialize_buffers()
initialize_ble()
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')
############################ added ########################################
hr_calc = Hr(train_file=files[0], window_length=100, plot=False)
hr_calc1 = Hr(train_file=files[1], window_length=100, plot=False)
timer_1 = Timer(period=sampling_period)
pedometer = Pedometer(pfiles[0], pfiles[1])
# 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=True)
axes = an.axes
axes[0].set_title('Data')
axes[0].set_xlabel('Time (s)')
axes[0].set_ylabel('IMU Value (au)')
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)
axes = an.axes
axes[0].set_title('Data')
axes[0].set_xlabel('Time (s)')
axes[0].set_ylabel('IMU Value (au)')
axes[1].set_title('Data')
axes[1].set_xlabel('Time (s)')
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="ir_data_train.csv", plot=True)
# 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)
axes = an.axes
axes[0].set_title('Data')
axes[0].set_xlabel('Time (s)')
axes[0].set_ylabel('IR Value (au)')
axes[1].set_title('Data')
axes[1].set_xlabel('Time (s)')