Python library for interfacing with BrainAccess Board
Project description
brainaccess-board
Communication with BrainAccess Board and its database.
Installation
pip install brainaccess-board
Usage
Connect to active database
import brainaccess_board as bb
db, status = bb.db_connect(filename='current')
if status:
data = db.get_mne()
print(f"Dictionary of connected devices:\n {data}")
print(f"MNE structure: {data[next(iter(data))]}")
Dictionary of connected devices:
{'b2b586a2-da7a-4420-8a6d-cb890e9ba7d7': <RawArray | 8 x 36500 (146.0 s), ~2.
2 MB, data loaded>}
MNE structure: <RawArray | 8 x 36500 (146.0 s), ~2.2 MB, data loaded>
Read previously saved database file
import brainaccess_board as bb
db, status = bb.db_connect(filename='Data_saved_by_BrainAccess_Board.db')
if status:
data = db.get_mne()
print(f"Dictionary of devices:\n {data}")
print(f"MNE structure: {data[next(iter(data))]}")
Communication with BrainAccess Board
import brainaccess_board as bb
bc, commands, status = bb.msg_connect()
print(commands)
if status:
response = bc.command(commands['test'])
print(response)
Setup LSL Markers
Creates LSL stream with markers.
import brainaccess_board as bb
stim = bb.stimulation_connect(name="BrainAccessMarkers")
if stim.have_consumers():
stim.annotate("1")
Project details
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