def simulate_bci_signal(fs, chunk_size=8, verbose=False):
# setup stream
info = StreamInfo(name='NFBLab_data',
type='',
channel_count=1,
nominal_srate=fs)
channels = info.desc().append_child("channels")
channels.append_child("channel").append_child_value("name", 'BCI')
print('Stream info:\n\tname: {}, fs: {}Hz, channels: {}'.format(
info.name(), int(info.nominal_srate()), ['BCI']))
outlet = StreamOutlet(info)
print('Now sending data...')
# prepare main loop
start = time()
counter = chunk_size
x = x_base = np.ones((chunk_size, 1))
n_chunks = 0
# main loop
while True:
while time() - start < counter / fs:
sleep(1 / fs)
if np.random.randint(0, fs / chunk_size / 2) == 0:
x = x_base * np.random.randint(0, 2 + 1)
outlet.push_chunk(x)
n_chunks += 1
counter += chunk_size
if verbose:
# print('counter time: {:.2f}\ttime: {:.2f}'.format(counter/fs, time() - start))
if n_chunks % 50 == 0:
print('Chunk {} was sent'.format(n_chunks))
def simulate_bci_signal(fs, verbose=False):
"""
:param fs: sampling frequency
:param verbose: if verbose == True print info
"""
# setup stream
info = StreamInfo(name='NFBLab_data',
type='',
channel_count=1,
nominal_srate=fs)
channels = info.desc().append_child("channels")
channels.append_child("channel").append_child_value("name", 'BCI')
print('Stream info:\n\tname: {}, fs: {}Hz, channels: {}'.format(
info.name(), int(info.nominal_srate()), ['BCI']))
outlet = StreamOutlet(info)
print('Now sending data...')
# prepare main loop
start = time()
counter = 0
# main loop
while True:
while time() - start < counter / fs:
sleep(1 / fs)
x = 1 - int((counter % 1501) < 250)
outlet.push_sample([x])
counter += 1
if verbose:
if counter % fs == 0:
print(x)
def __init__(self, info: pylsl.StreamInfo, plt: pg.PlotItem):
super().__init__(info)
# calculate the size for our buffer, i.e. two times the displayed data
bufsize = (2 * math.ceil(info.nominal_srate() * plot_duration), info.channel_count())
self.buffer = np.empty(bufsize, dtype=self.dtypes[info.channel_format()])
empty = np.array([])
# create one curve object for each channel/line that will handle displaying the data
self.curves = [pg.PlotCurveItem(x=empty, y=empty, autoDownsample=True) for _ in range(self.channel_count)]
for curve in self.curves:
plt.addItem(curve)
