def initialize_board(name='SYNTHETIC',port = None):
if name == 'SYNTHETIC':
BoardShim.enable_dev_board_logger()
# use synthetic board for demo
params = BrainFlowInputParams()
board_id = BoardIds.SYNTHETIC_BOARD.value
board = BoardShim(board_id, params)
board.rate = BoardShim.get_sampling_rate(board_id)
board.channels = BoardShim.get_eeg_channels(board_id)
board.time_channel = BoardShim.get_timestamp_channel(board_id)
board.eeg_channels = BoardShim.get_eeg_channels(board_id)
board.accel_channels = BoardShim.get_accel_channels(board_id)
elif name == 'OPENBCI':
board_id = BoardIds.CYTON_DAISY_BOARD.value
params = BrainFlowInputParams()
params.serial_port = port
board_id = BoardIds.CYTON_DAISY_BOARD.value
board = BoardShim(board_id, params)
board.rate = BoardShim.get_sampling_rate(board_id)
board.channels = BoardShim.get_eeg_channels(board_id)
board.time_channel = BoardShim.get_timestamp_channel(board_id)
board.eeg_channels = BoardShim.get_eeg_channels(board_id)
board.accel_channels = BoardShim.get_accel_channels(board_id)
print('Must have OpenBCI GUI open to work... (as port is not opened by Brainflow)')
board.prepare_session()
return board
def main():
'''
Connect to the Brainstorm
'''
# Authentication
username = '******'
password = ''
## Set Connection Details
# brainstorm = brainsatplay.Brainstorm('https://localhost') # Local
brainstorm = brainsatplay.Brainstorm() # Deployed Server
## Connect
res = brainstorm.connect(username,
password) # All optional (defaults to guest)
'''
Subscribe to a Particular Game
'''
# # Connection Settings
# appname = 'brainstorm'
# devices = []
# props = ['raw','times','sps','deviceType','format','eegChannelTags']
# sessionid = None
# spectating = False # Spectate to view data without sending it
# res = brainstorm.getSessions(appname)
# if res['msg'] != 'appNotFound':
# sessionid = res['sessions'][0]['id']
# else:
# res = brainstorm.createSession(appname, devices, props)
# sessionid = res['sessionInfo']['id']
# # Handle Data from Subscribed Games
# def newData(json):
# for user in json['userData']:
# name = user['username']
# print('Data for {}'.format(name))
# res = brainstorm.subscribeToSession(sessionid,spectating, newData)
'''
Stream your Data
'''
# Setup Brainflow
params = BrainFlowInputParams()
board_id = BoardIds['SYNTHETIC_BOARD'].value
board = BoardShim(board_id, params)
board.rate = BoardShim.get_sampling_rate(board_id)
board.channels = BoardShim.get_eeg_channels(board_id)
board.time_channel = BoardShim.get_timestamp_channel(board_id)
board.eeg_channels = BoardShim.get_eeg_channels(board_id)
board.eeg_names = BoardShim.get_eeg_names(board_id)
board.prepare_session()
board.start_stream(num_samples=450000)
# Handle CTRL-C Exit
def onStop():
board.stop_stream()
board.release_session()
loopCount = 0
# Start Stream Loop
def streamLoop():
pass_data = []
rate = DataFilter.get_nearest_power_of_two(board.rate)
data = board.get_board_data()
t = data[board.time_channel]
data = data[board.eeg_channels]
for entry in data:
pass_data.append((entry).tolist())
data = {}
data['raw'] = pass_data
data['times'] = t.tolist()
# Send Metadata on First Loop
if loopCount == 0:
data['sps'] = board.rate
data['deviceType'] = 'eeg'
data['format'] = 'brainflow'
tags = []
for i, channel in enumerate(board.eeg_channels):
tags.append({
'ch': channel - 1,
'tag': board.eeg_names[i],
'analyze': True
})
data['eegChannelTags'] = tags
return data
res = brainstorm.startStream(streamLoop, onStop)
