def connect_muse(address, device_type, host, port):
muse = Muse(address=address,
device_type=device_type,
host=host,
port=port,
backend=backend,
interface=None)
muse.connect()
print("muse connected %s" % (address))
muse.start()
print("muse streaming from %s" % (address))
return muse
(options, args) = parser.parse_args()
full_time = []
full_data = []
def process(data, timestamps):
full_time.append(timestamps)
full_data.append(data)
muse = Muse(options.address, process)
muse.connect()
muse.start()
while 1:
try:
sleep(1)
except:
break
muse.stop()
muse.disconnect()
full_time = np.concatenate(full_time)
full_data = np.concatenate(full_data, 1).T
res = pd.DataFrame(data=full_data,
columns=['TP9', 'AF7', 'AF8', 'TP10', 'Right AUX'])
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, 12, 360)
def process(data, timestamps):
for ii in range(12):
outlet.push_sample(data[:, ii], timestamps[ii])
muse = Muse(address=options.address, callback=process,
backend=options.backend, time_func=local_clock,
interface=options.interface, name=options.name)
muse.connect()
print('Connected')
muse.start()
print('Streaming')
while 1:
try:
sleep(1)
except:
break
muse.stop()
muse.disconnect()
print('Disonnected')
