def __init__(self, board_shim):
self.board_id = board_shim.get_board_id()
self.board_shim = board_shim
self.exg_channels = BoardShim.get_exg_channels(self.board_id)
self.sampling_rate = BoardShim.get_sampling_rate(self.board_id)
self.update_speed_ms = 50
self.window_size = 8
self.partial_window_size = 4
self.n_pads = 12
self.noise = np.ones(self.partial_window_size * self.sampling_rate)
self.beta = np.ones(self.partial_window_size * self.sampling_rate)/10
self.alpha = np.ones(self.partial_window_size * self.sampling_rate)/10
self.num_points = self.window_size * self.sampling_rate
self.num_points_partial = self.partial_window_size * self.sampling_rate
self.app = QtGui.QApplication([])
self.win = pg.GraphicsWindow(title='BrainFlow Plot',size=(800, 600))
self._init_timeseries()
timer = QtCore.QTimer()
timer.timeout.connect(self.update)
timer.start(self.update_speed_ms)
QtGui.QApplication.instance().exec_()
def __init__(self, board_shim):
self.board_id = board_shim.get_board_id()
self.board_shim = board_shim
self.exg_channels = BoardShim.get_exg_channels(self.board_id)
self.sampling_rate = BoardShim.get_sampling_rate(self.board_id)
self.update_speed_ms = 50
self.window_size = 10
self.num_points = self.window_size * self.sampling_rate
self.plot_names = [
'Quality A2', 'Quality A1', 'Quality C4', 'Quality C3'
]
self.mains = None
self.app = QtGui.QApplication([])
self.win = pg.GraphicsWindow(title='Enophone Live Streaming',
size=(800, 600))
self._init_timeseries()
timer = QtCore.QTimer()
timer.timeout.connect(self.update)
timer.start(self.update_speed_ms)
QtGui.QApplication.instance().exec_()
def __init__(self, board_shim):
pg.setConfigOption('background', 'w')
pg.setConfigOption('foreground', 'k')
self.board_id = board_shim.get_board_id()
self.board_shim = board_shim
self.exg_channels = BoardShim.get_exg_channels(self.board_id)
self.sampling_rate = BoardShim.get_sampling_rate(self.board_id)
self.update_speed_ms = 50
self.window_size = 4
self.num_points = self.window_size * self.sampling_rate
self.app = QtGui.QApplication([])
self.win = pg.GraphicsWindow(title='BrainFlow Plot',size=(800, 600))
self._init_pens()
self._init_timeseries()
self._init_psd()
self._init_band_plot()
timer = QtCore.QTimer()
timer.timeout.connect(self.update)
timer.start(self.update_speed_ms)
QtGui.QApplication.instance().exec_()
from csv import writer import brainflow from brainflow.board_shim import BoardShim, BrainFlowInputParams, LogLevels, BoardIds from brainflow.data_filter import DataFilter, FilterTypes, AggOperations nan = math.nan # board settings board_id = BoardIds.SYNTHETIC_BOARD.value #board_id = BoardIds.GANGLION_BOARD.value serial_port = 'COM3' mac_address = '12345' # columns used colsused = np.array(BoardShim.get_exg_channels(board_id)) # plot settings display_interval = 5000 leftbord = nan rightbord = nan welch_left = nan welch_right = nan # frequency settings fft_type = "welch" sampling_rate = BoardShim.get_sampling_rate(board_id) # welch settings per_data_seg = 1 poverlap = 0.5
