def stream(address, backend='auto', interface=None, name=None):
bluemuse = backend == 'bluemuse'
if not bluemuse:
if not address:
found_muse = find_muse(name)
if not found_muse:
print('Muse could not be found')
return
else:
address = found_muse['address']
name = found_muse['name']
info = StreamInfo('Muse', 'EEG', MUSE_NB_CHANNELS, MUSE_SAMPLING_RATE, 'float32',
'Muse%s' % address)
info.desc().append_child_value("manufacturer", "Muse")
channels = info.desc().append_child("channels")
for c in ['TP9', 'AF7', 'AF8', 'TP10', 'Right AUX']:
channels.append_child("channel") \
.append_child_value("label", c) \
.append_child_value("unit", "microvolts") \
.append_child_value("type", "EEG")
outlet = StreamOutlet(info, LSL_CHUNK)
def push_eeg(data, timestamps):
for ii in range(LSL_CHUNK):
outlet.push_sample(data[:, ii], timestamps[ii])
muse = Muse(address=address, callback_eeg=push_eeg,
backend=backend, interface=interface, name=name)
if(bluemuse):
muse.connect()
if not address and not name:
print('Targeting first device BlueMuse discovers...')
else:
print('Targeting device: ' +
':'.join(filter(None, [name, address])) + '...')
print('\n*BlueMuse will auto connect and stream when the device is found. \n*You can also use the BlueMuse interface to manage your stream(s).')
muse.start()
return
didConnect = muse.connect()
if(didConnect):
print('Connected.')
muse.start()
print('Streaming...')
while time() - muse.last_timestamp < AUTO_DISCONNECT_DELAY:
try:
sleep(1)
except KeyboardInterrupt:
muse.stop()
muse.disconnect()
break
print('Disconnected.')
def _setup_outlet(self):
"""
Setting up LSL outlet for connectivity values
:return: StreamOutlet object
"""
sample_size = self.CONNECTIONS * len(self.freqParams)
if sample_size == 0:
return
# basic info
info = StreamInfo('RValues', 'Markers', sample_size, IRREGULAR_RATE,
cf_float32, "RValues-{}".format(getpid()))
info.desc().append_child_value("correlation", "R")
mappings = info.desc().append_child("mappings")
# in the 'mapping' field, save the IDs of the pair in each connection
buffer_keys = list(self.buffer.buffers_by_uid.keys())
pair_index = [
a for a in list(
product(np.arange(0, len(buffer_keys)),
np.arange(0, len(buffer_keys)))) if a[0] < a[1]
]
for pair in pair_index:
mappings.append_child("mapping") \
.append_child_value("from", buffer_keys[pair[0]]) \
.append_child_value("to", buffer_keys[pair[1]])
return StreamOutlet(info)
def _start_mock_lsl_stream(host):
"""Start a mock LSL stream to test LSLClient."""
from pylsl import StreamInfo, StreamOutlet
n_channels = 8
sfreq = 100
info = StreamInfo('MNE', 'EEG', n_channels, sfreq, 'float32', host)
info.desc().append_child_value("manufacturer", "MNE")
channels = info.desc().append_child("channels")
for c_id in range(1, n_channels + 1):
channels.append_child("channel") \
.append_child_value("label", "MNE {:03d}".format(c_id)) \
.append_child_value("type", "eeg") \
.append_child_value("unit", "microvolts")
# next make an outlet
outlet = StreamOutlet(info)
print("now sending data...")
while True:
mysample = [
rand(),
rand(),
rand(),
rand(),
rand(),
rand(),
rand(),
rand()
]
mysample = [x * 1e-6 for x in mysample]
# now send it and wait for a bit
outlet.push_sample(mysample)
time.sleep(0.01)
def main():
# Create Gnautilus device
d = GDS()
configure_device(d)
device_name = get_device_name(d)
# Create LSL outlet
info = StreamInfo(device_name, 'eeg', 32, d.SamplingRate, 'float32', device_name)
# Append channel meta-data
info.desc().append_child_value("manufacturer", "G.tec")
channels = info.desc().append_child("channels")
for c in d.GetChannelNames()[0]:
channels.append_child("channel") \
.append_child_value("label", c) \
.append_child_value("unit", "microvolts") \
.append_child_value("type", "EEG")
#Print device information
print_device_configuration(d)
outlet = StreamOutlet(info)#, chunk_size=2)
sender = DataSender(outlet)
try:
print("stream data ....")
x = threading.Thread(target=sender.stop_collection)
x.start()
d.GetData(1, sender.send_data)
finally:
print("Closing device")
d.Close()
def create_outlet(d_id: str, d_type: str, c_desc: dict, d_manufacturer, d_name,
d_serial):
"""
Generate LSL outlet from Metadata
:rtype: StreamOutlet
:param d_id: id for the device, usually the manufacturer and device type combined
:param d_type: type of device (e.g. EEG, Wristband)
:param c_desc: channel description. keys should be channel id. values should contain ('freq', 'unit' and 'type')
:param d_manufacturer: manufacturer of the device
:param d_name: name of the device
:param d_serial: serial number of the device (for uniqueness)
:return: StreamOutlet object to send data streams through
"""
info = StreamInfo(d_id, d_type, len(c_desc.keys()), IRREGULAR_RATE,
'float32', d_serial)
info.desc().append_child_value("manufacturer",
d_manufacturer).append_child_value(
"device", d_name)
channels = info.desc().append_child("channels")
for c in c_desc.keys():
channels.append_child("channel") \
.append_child_value("label", c) \
.append_child_value("unit", c_desc[c]['unit']) \
.append_child_value("type", c_desc[c]['type']) \
.append_child_value("freq", c_desc[c]['freq']) \
# next make an outlet; we set the transmission chunk size to 32 samples and
# the outgoing buffer size to 360 seconds (max.)
return StreamOutlet(info, 32, 60)
def __init__(self, type_, n_chs, sfreq, send_data=False):
"""Add docstring here."""
if type_ not in ["Markers", "EEG"]:
raise ValueError("`type_` must be 'Markers' or 'EEG'.")
self.type_ = type_
self.n_chs = n_chs
self.sfreq = sfreq
self.send_data = send_data
self.stream_name = "test_{}_{}".format(self.type_, randint(1, 100))
self.stream_type = 'float32' if self.type_ == "EEG" else 'int32'
info = StreamInfo(self.stream_name, self.type_, self.n_chs, self.sfreq,
self.stream_type, self.stream_name + '_1234')
# Add metadata.
info.desc().append_child_value("nominal_srate", str(self.sfreq))
if self.type_ == "EEG":
ch_names = ['ch{}'.format(x) for x in range(1, self.n_chs + 1)]
for c in ch_names:
info.desc().append_child("channel")\
.append_child_value("name", c)\
.append_child_value("unit", "millivolts")\
.append_child_value("type", "EEG")
self.outlet = StreamOutlet(info)
if self.send_data:
self.event = Event()
self.thread = Thread(target=self._send_data)
self.thread.start()
def _get_gyro_outlet(self):
gyro_info = StreamInfo('Muse', 'GYRO', MUSE_NB_GYRO_CHANNELS,
MUSE_SAMPLING_GYRO_RATE, 'float32',
'Muse%s' % self.get_muse_address())
gyro_info.desc().append_child_value("manufacturer", "Muse")
gyro_outlet = StreamOutlet(gyro_info, LSL_GYRO_CHUNK)
return gyro_outlet
def _get_acc_outlet(self):
acc_info = StreamInfo('Muse', 'ACC', MUSE_NB_ACC_CHANNELS,
MUSE_SAMPLING_ACC_RATE, 'float32',
'Muse%s' % self.get_muse_address())
acc_info.desc().append_child_value("manufacturer", "Muse")
acc_outlet = StreamOutlet(acc_info, LSL_ACC_CHUNK)
return acc_outlet
def _get_ppg_outlet(self):
# Connecting to MUSE
ppg_info = StreamInfo('Muse', 'PPG', MUSE_NB_PPG_CHANNELS,
MUSE_SAMPLING_PPG_RATE, 'float32',
'Muse%s' % self.get_muse_address())
ppg_info.desc().append_child_value("manufacturer", "Muse")
ppg_outlet = StreamOutlet(ppg_info, LSL_PPG_CHUNK)
return ppg_outlet
def createOutlet(index, filename):
streamName = 'FrameMarker' + str(index + 1)
info = StreamInfo(name=streamName,
type='videostream',
channel_format='float32',
channel_count=1,
source_id=str(uuid.uuid4()))
if sys.platform == "linux":
videoFile = os.path.splitext(filename)[0] + '.ogv'
info.desc().append_child_value("videoFile", filename)
return StreamOutlet(info)
def channel_names(stream_info: pylsl.StreamInfo) -> List[str]:
"""Extracts the channel names from the LSL Stream metadata."""
channels = []
if stream_info.desc().child("channels").empty():
return channels
channel = stream_info.desc().child("channels").child("channel")
for _ in range(stream_info.channel_count()):
channel_name = channel.child_value("label")
channels.append(channel_name)
channel = channel.next_sibling()
return channels
def _setup_outlet_power(self):
sample_size = self.STREAM_COUNT * self.channel_count * len(
self.freqParams)
self.logger.warning(
'power sample size is %s %s %s' %
(self.STREAM_COUNT, self.channel_count, len(self.freqParams)))
if sample_size == 0:
return
info = StreamInfo('Powervals', 'Markers', sample_size, IRREGULAR_RATE,
cf_float32, "Pvals-{}".format(getpid()))
info.desc().append_child_value('subjects',
'_'.join(list(self.buffers.keys())))
return StreamOutlet(info)
def make_stream(eyetracker):
"""Creates a stream outlet and defines meta-data.
https://labstreaminglayer.readthedocs.io/"""
info = StreamInfo('TobiiET', 'ET', 1, 120, 'float32',
eyetracker.serial_number)
info.desc().append_child_value("manufacturer", "Tobii")
channels = info.desc().append_child("channels")
for c in ["LX", "LY", "RX", "RY"]:
channels.append_child("channel") \
.append_child_value("label", c) \
.append_child_value("unit", "normalised location") \
.append_child_value("type", "ET")
return StreamOutlet(info)
def main():
# Set up LabStreamingLayer stream.
info = StreamInfo(name='PsychoPyMarker',
type='Markers',
channel_count=3,
channel_format='double64',
source_id='unique012345')
chns = info.desc().append_child("channels")
#MarkerTime is the time you want to add a marker. It is an epoch time.
#MarkerValue is value of marker
#CurrentTime is current time at epoch time
for label in ["MarkerTime", "MarkerValue", "CurrentTime"]:
ch = chns.append_child("channel")
ch.append_child_value("label", label)
ch.append_child_value("type", "Marker")
info.desc().append_child_value("manufacturer", "PsychoPy")
outlet = StreamOutlet(info) # Broadcast the stream.
# Instantiate the PsychoPy window and stimuli.
win = visual.Window([800, 600],
allowGUI=False,
monitor='testMonitor',
units='deg')
while (True):
markerValue = random.randint(1, 99)
print("Marker value: ", markerValue)
displayText = visual.TextStim(win,
text="Send Marker has value: " +
str(markerValue))
displayText.draw()
win.flip()
now = datetime.datetime.now().timestamp()
print(now)
# data: MarkerTime, MarkerValue, Current EpochTime
data = [now, markerValue, now]
outlet.push_sample(data)
if 'escape' in event.getKeys(): # Exit if user presses escape.
break
core.wait(1.0) # Display text for 1.0 second.
win.flip()
core.wait(0.5) # ISI of 0.5 seconds.
win.close()
core.quit()
def __init__(self, class_list=[1, 3], classes_rand=True, target_list=[1, 2], targets_rand=True):
"""
:param class_list: A list of integers comprising different class ids. Default: [1, 3]
:param classes_rand: If True, classes are chosen randomly from list. If False, the list is cycled. Default: True
:param target_list: A list of integers comprising different target ids. Default: [1, 2]
:param targets_rand: If True, targets are chosen randomly from list. If False, the list is cycled. Default: True
"""
stream_name = 'GeneratedCentreOutMarkers'
stream_type = 'Markers'
outlet_info = StreamInfo(name=stream_name, type=stream_type,
channel_count=1, nominal_srate=0,
channel_format='string',
source_id='centreoutmarkergen1234')
outlet_xml = outlet_info.desc()
channels_xml = outlet_xml.append_child("channels")
chan_xml = channels_xml.append_child("channel")
chan_xml.append_child_value("label", "EventMarkers")
chan_xml.append_child_value("type", "generated")
self.outlet = StreamOutlet(outlet_info)
print("Created outlet with name {} and type {}".format(stream_name, stream_type))
self.class_list = class_list
self.classes_rand = classes_rand
self.target_list = target_list
self.targets_rand = targets_rand
self.next_transition = -1
self.in_phase = 'evaluate'
self.trial_ix = 0
self.class_id = self.class_list[0]
self.target_id = self.target_list[0]
def update(self):
if isinstance(self.i.data, pd.core.frame.DataFrame):
if not self._outlet:
labels = list(
self.i.data.select_dtypes(
include=[self._dtypes[self._format]]))
info = StreamInfo(
self._name,
self._type,
len(labels),
self._rate,
self._format,
self._source,
)
channels = info.desc().append_child("channels")
for label in labels:
if not isinstance("string", type(label)):
label = str(label)
channels.append_child("channel").append_child_value(
"label", label)
self._outlet = StreamOutlet(info)
values = self.i.data.select_dtypes(
include=[self._dtypes[self._format]]).values
stamps = self.i.data.index.values.astype(np.float64)
for row, stamp in zip(values, stamps):
self._outlet.push_sample(row, stamp)
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 main(argv):
# Set the default host name parameter. The SDK is socket based so any
# networked Motion Service is available.
host = ""
if len(argv) > 1:
host = argv[1]
sys.stdout.write("\n=== outstream_shadowsuit.py ===\n\n")
sys.stdout.flush()
# Setup outlet stream infos
mocap_channels = 32
sample_size = 8
sys.stdout.write("Creating LSL outlets...")
sys.stdout.flush()
stream_info_mocap = StreamInfo('ShadowSuit', 'MOCAP', mocap_channels * sample_size, 200)
channels = stream_info_mocap.desc().append_child("channels")
channel_list = ["lq0", "lq1", "lq2", "lq3",
"c0", "c1", "c2", "c3"]
for c in channel_list:
channels.append_child(c)
# Create outlets
outlet_mocap = StreamOutlet(stream_info_mocap)
sys.stdout.write("created.\n")
sys.stdout.flush()
shadow_client(host, PortConfigurable, outlet_mocap)
def StartStream(STREAMNAME):
info = StreamInfo(STREAMNAME, 'ECG', 1, ECG_SAMPLING_FREQ, 'float32',
'myuid2424')
info.desc().append_child_value("manufacturer", "Polar")
channels = info.desc().append_child("channels")
for c in ["ECG"]:
channels.append_child("channel")\
.append_child_value("name", c)\
.append_child_value("unit", "microvolts")\
.append_child_value("type", "ECG")
# next make an outlet; we set the transmission chunk size to 74 samples and
# the outgoing buffer size to 360 seconds (max.)
return StreamOutlet(info, 74, 360)
def create_stream(self, stream_name):
# Configure LSL streams
info = StreamInfo(*self.stream_descriptions[stream_name])
# append channels meta-data
channels = info.desc().append_child("channels")
for c in self.stream_channels[stream_name]:
if c == 'gidx':
channels.append_child("channel") \
.append_child_value("name", c) \
.append_child_value("unit", "na") \
.append_child_value("type", "marker")
elif c == 's':
channels.append_child("channel") \
.append_child_value("name", c) \
.append_child_value("unit", "na") \
.append_child_value("type", "marker")
else:
channels.append_child("channel") \
.append_child_value("name", c) \
.append_child_value("unit", "mm") \
.append_child_value("type", "coordinate")
outlet = StreamOutlet(info)
return outlet
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 main():
PORT = '1234'
info = StreamInfo('Muse', 'EEG', 4, 220, 'float32',
'MuseName')
info.desc().append_child_value("manufacturer", "Muse")
channels = info.desc().append_child("channels")
for c in ['TP9-l_ear', 'FP1-l_forehead', 'FP2-r_forehead', 'TP10-r_ear']:
channels.append_child("channel") \
.append_child_value("label", c) \
.append_child_value("unit", "microvolts") \
.append_child_value("type", "EEG")
# create a pylsl outlet; specify info, chunk size (each push yields one chunk), and maximum buffered data
outlet = StreamOutlet(info, 1, 360)
if outlet:
print('EEG outlet created.')
# connect to the server; start pushing muse data to the pylsl outlet
try:
muse_server = server.PylibloServer(PORT, server.process, outlet)
except server.ServerError:
raise ValueError('Cannot create PylibloServer Object.')
if muse_server:
muse_server.connect()
else:
print('No muse connection.')
return
# connect to inlets
# Create MuseEEGStream object
eeg_stream = st.MuseEEGStream()
# ensure eeg stream is receiving data before trying to access data
while not eeg_stream.data:
time.sleep(0.1)
for i in range(1000):
try:
# print the eeg data every second
print(eeg_stream.data[-1])
time.sleep(1)
except:
break
muse_server.stop()
def _get_eeg_outlet(self):
# Connecting to MUSE
eeg_info = StreamInfo('Muse', 'EEG', MUSE_NB_EEG_CHANNELS,
MUSE_SAMPLING_EEG_RATE, 'float32',
'Muse%s' % self.get_muse_address())
eeg_info.desc().append_child_value("manufacturer", "Muse")
eeg_channels = eeg_info.desc().append_child("channels")
for c in ['TP9', 'AF7', 'AF8', 'TP10', 'Right AUX']:
eeg_channels.append_child("channel") \
.append_child_value("label", c) \
.append_child_value("unit", "microvolts") \
.append_child_value("type", "EEG")
eeg_outlet = StreamOutlet(eeg_info, LSL_EEG_CHUNK)
return eeg_outlet
def new_lsl_stream_info(config, qtm_host, qtm_port):
info = StreamInfo(
name="Qualisys",
type="Mocap",
channel_count=config.channel_count(),
channel_format=cf_float32,
source_id="{}:{}".format(qtm_host, qtm_port),
)
channels = info.desc().append_child("channels")
setup = info.desc().append_child("setup")
markers = setup.append_child("markers")
objects = setup.append_child("objects")
cameras = setup.append_child("cameras")
lsl_stream_info_add_markers(config, channels, markers)
lsl_stream_info_add_6dof(config, channels, objects)
lsl_stream_info_add_cameras(config, cameras)
info.desc().append_child("acquisition") \
.append_child_value("manufacturer", "Qualisys") \
.append_child_value("model", "Qualisys Track Manager")
return info
def stream():
#print(address)
#print(name)
print(
"Creating LSL stream for EEG. \nName: OpenBCIEEG\nID: OpenBCItestEEG\n"
)
info_eeg = StreamInfo('OpenBCIEEG', 'EEG', 16, 250, 'float32',
'OpenBCItestEEG')
# print("Creating LSL stream for AUX. \nName: OpenBCIAUX\nID: OpenBCItestEEG\n")
# info_aux = StreamInfo('OpenBCIAUX', 'AUX', 3, 250, 'float32', 'OpenBCItestAUX')
info_eeg.desc().append_child_value("manufacturer", "OpenBCI")
eeg_channels = info_eeg.desc().append_child("channels")
for c in [
'Fp1', 'Fp2', 'C3', 'C4', 'P7', 'P8', 'O1', 'O2', 'F7', 'F8', 'F3',
'F4', 'T7', 'T8', 'P3', 'P4'
]:
eeg_channels.append_child("channel") \
.append_child_value("label", c) \
.append_child_value("unit", "microvolts") \
.append_child_value("type", "EEG")
# eeg_outlet = StreamOutlet(eeg_info, LSL_EEG_CHUNK)
outlet_eeg = StreamOutlet(info_eeg)
# outlet_aux = StreamOutlet(info_aux)
def lsl_streamers(sample):
outlet_eeg.push_sample(
np.array(sample.channels_data) * SCALE_FACTOR_EEG)
# outlet_aux.push_sample(np.array(sample.aux_data)*SCALE_FACTOR_AUX)
#board = OpenBCICyton(port='COM3', daisy=True)
board = OpenBCICyton(port='/dev/tty.usbserial-DM01N7JO', daisy=True)
board.start_stream(lsl_streamers)
class SignalsOutlet:
def __init__(self, signals, fs):
self.info = StreamInfo(name='NFBLab_data', type='', channel_count=len(signals), source_id='nfblab42',
nominal_srate=fs)
self.info.desc().append_child_value("manufacturer", "BioSemi")
channels = self.info.desc().append_child("channels")
for c in signals:
channels.append_child("channel").append_child_value("name", c)
self.outlet = StreamOutlet(self.info)
def push_sample(self, data):
self.outlet.push_sample(data)
def push_repeated_chunk(self, data, n=1):
#chunk = repeat(data, n).reshape(-1, n).T.tolist()
#self.outlet.push_chunk(chunk)
for k in range(n):
self.outlet.push_sample(data)
def push_chunk(self, data, n=1):
self.outlet.push_chunk(data)
class SignalsOutlet:
def __init__(self, signals, fs, name='NFBLab_data1'):
self.info = StreamInfo(name=name, type='', channel_count=len(signals), source_id='nfblab42',
nominal_srate=fs)
self.info.desc().append_child_value("manufacturer", "BioSemi")
channels = self.info.desc().append_child("channels")
for c in signals:
channels.append_child("channel").append_child_value("name", c)
self.outlet = StreamOutlet(self.info)
def push_sample(self, data):
self.outlet.push_sample(data)
def push_repeated_chunk(self, data, n=1):
#chunk = repeat(data, n).reshape(-1, n).T.tolist()
#self.outlet.push_chunk(chunk)
for k in range(n):
self.outlet.push_sample(data)
def push_chunk(self, data, n=1):
self.outlet.push_chunk(data)
def __init__(self, device_info):
n_chan = device_info['adc_mask'].count(1)
self.exg_fs = device_info['sampling_rate']
orn_fs = 20
info_exg = StreamInfo(device_info["device_name"] + "_ExG", 'ExG',
n_chan, self.exg_fs, 'float32', 'ExG')
info_exg.desc().append_child_value("manufacturer", "Mentalab")
channels = info_exg.desc().append_child("channels")
for i, mask in enumerate(device_info['adc_mask']):
if mask == 1:
channels.append_child("channel")\
.append_child_value("name", EXG_CHANNELS[i])\
.append_child_value("unit", EXG_UNITS[i])\
.append_child_value("type", "ExG")
info_orn = StreamInfo(device_info["device_name"] + "_ORN",
'Orientation', 9, orn_fs, 'float32', 'ORN')
info_orn.desc().append_child_value("manufacturer", "Mentalab")
channels = info_exg.desc().append_child("channels")
for chan, unit in zip(ORN_CHANNELS, ORN_UNITS):
channels.append_child("channel") \
.append_child_value("name", chan) \
.append_child_value("unit", unit) \
.append_child_value("type", "ORN")
info_marker = StreamInfo(device_info["device_name"] + "_Marker",
'Markers', 1, 0, 'int32', 'Marker')
self.orn_outlet = StreamOutlet(info_orn)
self.exg_outlet = StreamOutlet(info_exg)
self.marker_outlet = StreamOutlet(info_marker)
def create_lsl_output(self):
"""Creates an LSL Stream outlet"""
info = StreamInfo(name=self.config.lsl_streamname.get(), type='P300_Marker',
channel_count=1, channel_format='int8', nominal_srate=IRREGULAR_RATE,
source_id='marker_stream', handle=None)
if self.config.flash_mode == 1:
info.desc().append_child_value('flash_mode', 'Row and Column')
elif self.config.flash_mode == 2:
info.desc().append_child_value('flash_mode', 'Single Value')
info.desc().append_child_value('num_rows', str(self.config.number_of_rows.get()))
info.desc().append_child_value('num_cols', str(self.config.number_of_columns.get()))
return StreamOutlet(info)
def __init__(self,
lsl_data_name=config.INFERENCE_LSL_NAME,
lsl_data_type=config.INFERENCE_LSL_TYPE
): # default board_id 2 for Cyton
self.lsl_data_type = lsl_data_type
self.lsl_data_name = lsl_data_name
# TODO need to change the channel count when adding eeg
info = StreamInfo(lsl_data_name,
lsl_data_type,
channel_count=config.EYE_TOTAL_POINTS_PER_INFERENCE,
channel_format='float32',
source_id='myuid2424')
info.desc().append_child_value("apocalyvec", "RealityNavigation")
# chns = info.desc().append_child("eeg_channels")
# channel_names = ["C3", "C4", "Cz", "FPz", "POz", "CPz", "O1", "O2", '1','2','3','4','5','6','7','8']
# for label in channel_names:
# ch = chns.append_child("channel")
# ch.append_child_value("label", label)
# ch.append_child_value("unit", "microvolts")
# ch.append_child_value("type", "EEG")
chns = info.desc().append_child("eye")
channel_names = [
'left_pupil_diameter_sample', 'right_pupil_diameter_sample'
]
for label in channel_names:
ch = chns.append_child("channel")
ch.append_child_value("label", label)
ch.append_child_value("unit", "mm")
ch.append_child_value("type", "eye")
self.outlet = StreamOutlet(info, max_buffered=360)
self.start_time = local_clock()
self.inlet = None
self.connect_inference_result_stream()
class BalanceBoardLSLOut(Outlet):
def __init__(self, root, datarate=250):
super(BalanceBoardLSLOut, self).__init__(root, "LSLOut")
logging.debug("Configuring LSL stream for 'wobble' data...")
# configure LSL stream
self.info = StreamInfo('BalanceBoard', 'wobble', 9, datarate,
'float32', self.root.id)
# append some meta-data
self.info.desc().append_child_value("manufacturer", "play")
channels = self.info.desc().append_child("channels")
for c in [
"accx", "accy", "accz", "acclinx", "accliny", "acclinz", "yaw",
"pitch", "roll"
]:
channels.append_child("channel") \
.append_child_value("label", c) \
.append_child_value("type", "wobble")
# next make an outlet; we set the transmission chunk size to 32 samples and
# the outgoing buffer size to 360 seconds (max.)
self.outlet = StreamOutlet(self.info, 32, 360)
def work(self, data):
sample = [
data['accx'], data['accy'], data['accz'], data['laccx'],
data['laccy'], data['laccz'], data['yaw'], data['pitch'],
data['roll']
]
# ,
# data['yaw'], data['pitch'], data['roll']]
# get a time stamp in seconds
stamp = local_clock()
# now send it
self.outlet.push_sample(sample, stamp)
self.pump(sample)
def shutdown(self):
pass
def _setup_outlet(self):
sample_size = self.CONNECTIONS * len(self.freqParams)
if sample_size == 0:
return
info = StreamInfo('RValues', 'Markers', sample_size, IRREGULAR_RATE,
cf_float32, "RValues-{}".format(getpid()))
info.desc().append_child_value("correlation", "R")
mappings = info.desc().append_child("mappings")
buffer_keys = list(self.buffers.keys())
pair_index = [
a for a in list(
product(np.arange(0, len(buffer_keys)),
np.arange(0, len(buffer_keys)))) if a[0] < a[1]
]
for pair in pair_index:
mappings.append_child("mapping") \
.append_child_value("from", buffer_keys[pair[0]]) \
.append_child_value("to", buffer_keys[pair[1]])
return StreamOutlet(info)
def run_events_sim(name='events_example'):
info = StreamInfo(name=name, type='EEG', channel_count=1, channel_format='float32', source_id='myuid34234')
# channels labels (in accordance with XDF format, see also code.google.com/p/xdf)
chns = info.desc().append_child("channels")
for label in ['STIM']:
ch = chns.append_child("channel")
ch.append_child_value("label", label)
outlet = StreamOutlet(info)
# send data and print some info every 5 sec
print('now sending data...')
while True:
outlet.push_sample([42])
time.sleep(1)
print('42 sent')
pass
def __init__(self, Fs=2**14, FreqBeta=20.0, AmpBeta=100.0, AmpNoise=20.0, NCyclesPerChunk=4,
channels=["RAW1", "SPK1", "RAW2", "SPK2", "RAW3", "SPK3"]):
"""
:param Fs: Sampling rate
:param FreqBeta: Central frequency of beta band
:param AmpBeta: Amplitude of beta (uV)
:param AmpNoise: Amplitude of pink noise (uV)
:param NCyclesPerChunk: Minimum number of cycles of beta in a chunk.
:param channels: List of channel names
"""
# Saved arguments
self.FreqBeta = FreqBeta
self.AmpBeta = AmpBeta # Amplitude of Beta (uV)
self.AmpNoise = AmpNoise # Amplitude of pink noise
self.channels = channels
# Derived variables
chunk_dur = NCyclesPerChunk / self.FreqBeta # Duration, in sec, of one chunk
chunk_len = int(Fs * chunk_dur) # Number of samples in a chunk
self.tvec = 1.0 * (np.arange(chunk_len) + 1) / Fs # time vector for chunk (sec)
# Pink noise generator
self.pinkNoiseGen = PinkNoiseGenerator(nSampsPerBlock=chunk_len)
# Create a stream of fake 'raw' data
raw_info = StreamInfo(name='BetaGen', type='EEG',
channel_count=len(self.channels), nominal_srate=Fs,
channel_format='float32', source_id='betagen1234')
raw_xml = raw_info.desc()
chans = raw_xml.append_child("channels")
for channame in self.channels:
chn = chans.append_child("channel")
chn.append_child_value("label", channame)
chn.append_child_value("unit", "microvolts")
chn.append_child_value("type", "generated")
self.eeg_outlet = StreamOutlet(raw_info)
print("Created outlet with name BetaGen and type EEG")
self.last_time = local_clock()
"""Example program that shows how to attach meta-data to a stream, and how to
later on retrieve the meta-data again at the receiver side."""
import time
from pylsl import StreamInfo, StreamOutlet, StreamInlet, resolve_stream
# create a new StreamInfo object which shall describe our stream
info = StreamInfo("MetaTester", "EEG", 8, 100, "float32", "myuid56872")
# now attach some meta-data (in accordance with XDF format,
# see also code.google.com/p/xdf)
chns = info.desc().append_child("channels")
for label in ["C3", "C4", "Cz", "FPz", "POz", "CPz", "O1", "O2"]:
ch = chns.append_child("channel")
ch.append_child_value("label", label)
ch.append_child_value("unit", "microvolts")
ch.append_child_value("type", "EEG")
info.desc().append_child_value("manufacturer", "SCCN")
cap = info.desc().append_child("cap")
cap.append_child_value("name", "EasyCap")
cap.append_child_value("size", "54")
cap.append_child_value("labelscheme", "10-20")
# create outlet for the stream
outlet = StreamOutlet(info)
# (...normally here one might start sending data into the outlet...)
# === the following could run on another computer ===
import sys; sys.path.append('..') # help python find pylsl relative to this example program
from pylsl import StreamInfo, StreamOutlet, StreamInlet, resolve_stream
import time
# create a new StreamInfo and declare some meta-data (in accordance with XDF format)
info = StreamInfo("MetaTester","EEG",8,100,"float32","myuid56872")
chns = info.desc().append_child("channels")
for label in ["C3","C4","Cz","FPz","POz","CPz","O1","O2"]:
ch = chns.append_child("channel")
ch.append_child_value("label",label)
ch.append_child_value("unit","microvolts")
ch.append_child_value("type","EEG")
info.desc().append_child_value("manufacturer","SCCN")
cap = info.desc().append_child("cap")
cap.append_child_value("name","EasyCap")
cap.append_child_value("size","54")
cap.append_child_value("labelscheme","10-20")
# create outlet for the stream
outlet = StreamOutlet(info)
# === the following could run on another computer ===
# resolve the stream and open an inlet
results = resolve_stream("name","MetaTester")
inlet = StreamInlet(results[0])
# get the full stream info (including custom meta-data) and dissect it
inf = inlet.info()
print "The stream's XML meta-data is: "
print inf.as_xml()
import sys; sys.path.append('..') # help python find pylsl relative to this example program
from pylsl import StreamInfo, StreamOutlet, local_clock
import random
import time
# first create a new stream info (here we set the name to BioSemi, the content-type to EEG, 8 channels, 100 Hz, and float-valued data)
# The last value would be the serial number of the device or some other more or less locally unique identifier for the stream as far as available (you could also omit it but interrupted connections wouldn't auto-recover).
info = StreamInfo('BioSemi','EEG',8,100,'float32','myuid2424');
# append some meta-data
info.desc().append_child_value("manufacturer","BioSemi")
channels = info.desc().append_child("channels")
for c in ["C3","C4","Cz","FPz","POz","CPz","O1","O2"]:
channels.append_child("channel").append_child_value("name",c).append_child_value("unit","microvolts").append_child_value("type","EEG")
# next make an outlet; we set the transmission chunk size to 32 samples and the outgoing buffer size to 360 seconds (max.)
outlet = StreamOutlet(info,32,360)
print("now sending data...")
while True:
# make a new random 8-channel sample; this is converted into a pylsl.vectorf (the data type that is expected by push_sample)
mysample = [random.random(),random.random(),random.random(),random.random(),random.random(),random.random(),random.random(),random.random()]
# get a time stamp in seconds (we pretend that our samples are actually 125ms old, e.g., as if coming from some external hardware)
stamp = local_clock()-0.125
# now send it and wait for a bit
outlet.push_sample(mysample,stamp)
time.sleep(0.01)
def run_eeg_sim(freq=None, chunk_size=0, source_buffer=None, name='example', labels=None):
"""
Make LSL Stream Outlet and send source_buffer data or simulate sin data
:param n_channels: number of channels
:param freq: frequency
:param chunk_size: chunk size
:param source_buffer: buffer for samples to push (if it's None sine data will be sended)
:param name: name of outlet
:return:
"""
# default freq
freq = freq or 500
# labels and n_channels
labels = labels or ch_names32
n_channels = len(labels) if labels is not None else 32
# stream info
info = StreamInfo(name=name, type='EEG', channel_count=n_channels, nominal_srate=freq,
channel_format='float32', source_id='myuid34234')
# channels labels (in accordance with XDF format, see also code.google.com/p/xdf)
chns = info.desc().append_child("channels")
for label in labels:
ch = chns.append_child("channel")
ch.append_child_value("label", label)
outlet = StreamOutlet(info, chunk_size=chunk_size)
# send data and print some info every 5 sec
print('now sending data...')
t0 = time.time()
t = t0
c = 1
ampl = 10
freqs = np.arange(n_channels)*5 + 10
sample = np.zeros((n_channels,))
if source_buffer is not None:
source_buffer = np.concatenate([source_buffer.T, source_buffer.T[::-1]]).T
while True:
# if source_buffer is not None get sample from source_buffer
# else simulate sin(a*t)*sin(b*t)
if source_buffer is not None:
sample[:source_buffer.shape[0]] = source_buffer[:, c % source_buffer.shape[1]]
else:
sample = np.sin(2 * np.pi * time.time() * 50) * 0 + np.sin(2 * np.pi * time.time() * freqs)
# sample *= (np.sin(2 * np.pi * time.time() * 0.25) + 1) * ampl
sample *= c % (500 * 4) * ampl
if c % 20000 > 10000:
sample[0] *= 1
# push sample end sleep 1/freq sec
outlet.push_sample(sample)
time.sleep(1. / freq)
# print time, frequency and samples count every 5 sec
if c % (freq * 5) == 0:
t_curr = time.time()
print('t={:.1f}, f={:.2f}, c={}'.format(t_curr - t0, 1. / (t_curr - t) * freq * 5, c))
t = t_curr
c += 1
pass