from ble2lsl.devices import muse2016 from wizardhat import acquire, transform import numpy as np import matplotlib.pyplot as plt #if we had a device with us, we would use: #streamer = ble2lsl.Streamer(muse2016) #but if you're debugging or learning, use the dummy streamer with the command below: streamer = ble2lsl.Dummy(muse2016) #After writing streamer. you can use the tab key to see a list of properties and methods that streamer has, #for example, streamer.subscriptions shows all the subscribed data streams that the streamer object has picked up #from the device. streamer.subscriptions receiver = acquire.Receiver() receiver.buffers receiver.ch_names receiver.buffers['EEG'].data receiver.buffers['EEG'].data.shape #the default window for seeing data is 10 seconds. You can change that when you call acquire.Receiver(window=15) etc receiver.buffers['EEG'].unstructured #this version of the data has no labels and is just a pure numpy matrix receiver.buffers['EEG'].get_timestamps() our_first_recording = receiver.record(5) #wait 5 seconds after running this command our_first_recording.buffers['EEG'].data #notice it only goes up to 5 seconds channel_to_view = 'TP9' samples_to_view = 2000 raw = receiver.buffers['EEG'].data[channel_to_view][-samples_to_view:]
def construct_receiver_no_id(source_id=None, **kwargs):
"""Used to force manual selection among multiple sources."""
return acquire.Receiver(source_id=None, **kwargs)