'''
The following example was tested with OpenBCI Ganglion board.
'''
from pyseeg.communication import record_data
from pyseeg.stimuli import SimpleRectangle
# 0. Define output path (default is in your home directory).
output_path = '/tmp/pyseeg_test_output.csv'
# 1. Create stimuli object.
sti = SimpleRectangle(freqs=(10, 15),
win_size=(1000, 1000),
position=(300, 300),
stim_size=(400, 400),
colors=((255, 255, 255), (0, 0, 0)))
# 2. Record data with triggers (20 seconds or delete key press).
record_data(sti, output_path=output_path)
#TODO: add aux channels to the output.
# 3. Optionally: plot the data.
from pyseeg.visualization import plot_data
plot_data(output_path)
'''
The acquisition manager will ask the stimuli controller about the `state`
each time it collects the data (255 times per second in the case of OpenBCI).
Then the complete information will be saved to a file (sample id, channels
recordings, auxilliary channels, state).
'''
from pyseeg.communication import record_data from pyseeg.stimuli import TwoRectangles ####################### # 0. Define variables. # Output path (default is in your home directory). output_path = '/tmp/pyseeg_test_output.csv' # Frequencies (for the two rectangles). freqs = (10.0, 14.0) ############################ # 1. Create stimuli object. sti = TwoRectangles(freqs=freqs, timeout=8) ############################################ # 2. Record data and classify in real time. record_data(sti, freqs=freqs, channel=0, output_path=output_path) # TODO: add aux channels to the output. ############################################ # 3. Optionally: plot the data. from pyseeg.visualization import plot_data plot_data(output_path) ''' The acquisition manager will ask the stimuli controller about the `state` each time it collects the data (255 times per second in the case of OpenBCI). Then the complete information will be saved to a file (sample id, channels recordings, auxilliary channels, state). '''
'''
The following example was tested with OpenBCI Ganglion board.
'''
from pyseeg.communication import record_data
from pyseeg.stimuli import SimpleRectangle
# 0. Define output path (default is in your home directory).
output_path = '/tmp/pyseeg_test_output.csv'
# 1. Create stimuli object.
sti = SimpleRectangle(freqs=(10, 15), win_size=(1000, 1000),
position=(300, 300), stim_size=(400, 400),
colors=((255, 255, 255), (0, 0, 0)))
# 2. Record data with triggers (20 seconds or delete key press).
record_data(sti, output_path=output_path)
#TODO: add aux channels to the output.
# 3. Optionally: plot the data.
from pyseeg.visualization import plot_data
plot_data(output_path)
'''
The acquisition manager will ask the stimuli controller about the `state`
each time it collects the data (255 times per second in the case of OpenBCI).
Then the complete information will be saved to a file (sample id, channels
recordings, auxilliary channels, state).
'''
from pyseeg.communication import record_data from pyseeg.stimuli import TwoRectangles ####################### # 0. Define variables. # Output path (default is in your home directory). output_path = '/tmp/pyseeg_test_output.csv' # Frequencies (for the two rectangles). freqs = (10.0, 14.0) ############################ # 1. Create stimuli object. sti = TwoRectangles(freqs=freqs, timeout=8) ############################################ # 2. Record data and classify in real time. record_data(sti, freqs=freqs, channel=0, output_path=output_path) # TODO: add aux channels to the output. ############################################ # 3. Optionally: plot the data. from pyseeg.visualization import plot_data plot_data(output_path) ''' The acquisition manager will ask the stimuli controller about the `state` each time it collects the data (255 times per second in the case of OpenBCI). Then the complete information will be saved to a file (sample id, channels recordings, auxilliary channels, state). '''
''' The following example was tested with OpenBCI Ganglion board. ''' from pyseeg.communication import record_data from pyseeg.stimuli import SwitchingDigits # 0. Define output path (default is in your home directory). output_path = '/tmp/pyseeg_test_output.csv' # 1. Create stimuli object. sti = SwitchingDigits(highlight_dur=1.5, num_passes=5, fullscr=False) # 2. Record data with triggers (20 seconds or delete key press). record_data(sti, output_path=output_path, port=None) #TODO: add aux channels to the output. # 3. Optionally: plot the data. from pyseeg.visualization import plot_data plot_data(output_path) ''' The acquisition manager will ask the stimuli controller about the `state` each time it collects the data (255 times per second in the case of OpenBCI). Then the complete information will be saved to a file (sample id, channels recordings, auxilliary channels, state). '''
''' The following example was tested with OpenBCI Ganglion board. ''' from pyseeg.communication import record_data from pyseeg.stimuli import SwitchingDigits # 0. Define output path (default is in your home directory). output_path = '/tmp/pyseeg_test_output.csv' # 1. Create stimuli object. sti = SwitchingDigits(highlight_dur=1.5, num_passes=5, fullscr=False) # 2. Record data with triggers (20 seconds or delete key press). record_data(sti, output_path=output_path, port=None) #TODO: add aux channels to the output. # 3. Optionally: plot the data. from pyseeg.visualization import plot_data plot_data(output_path) ''' The acquisition manager will ask the stimuli controller about the `state` each time it collects the data (255 times per second in the case of OpenBCI). Then the complete information will be saved to a file (sample id, channels recordings, auxilliary channels, state). '''