A package to send Mindwave EEG data over Lab Streaming Layer (LSL).
This tool is for Mindwave EEG products and it was tested with Mindwave Mobile 2. You can use it to take data from a ThinkGear Connecter service using telnet and output it in a Lab Streaming Layer (LSL) outlet.
This package is available through pip
pip install mindwavelsl mindwavelsl
If pip doesn't work, run the following to clone the library and install the tool:
cd ~ git clone https://github.com/gmierz/mindwave-lsl cd mindwave-lsl py setup.py install
Then, to run it you can call it through the command line:
It has multiple options available including file output, and a mindwave-python connection option:
usage: mindwavelsl [-h] [--no-lsl] [--output OUTPUT] [--host HOST] [--port PORT] [--mindwave-python-connect] [--device DEVICE] [--headset-id HEADSET_ID] [--no-open-serial] Run this tool to push Mind Wave Mobile 2 data from the ThinkGear Connector socket, to Lab Streaming Layer (LSL). optional arguments: -h, --help show this help message and exit --no-lsl Set this flag to disable LSL outlet. --output OUTPUT Path to output data to, can include a CSV filename. --host HOST The host for the ThinkGear Connector. --port PORT The port for the ThinkGear Connector. --mindwave-python-connect Set this to connect to Mindwave headset using mindwave-python (through the module `mindwave`). It needs to be installed manually, and instructions can be found here: https://github.com/BarkleyUS/mindwave- python. A more up-to-date version exists here as well: https://github.com/faturita/python-mindwave. Must set --device and --headset-id to use. --device DEVICE Set this to the device of the headset to record i.e. /dev/tty.MindWave2. --headset-id HEADSET_ID Set this to the headset-id of the headset to record. --no-open-serial If set, then `open_serial` in mindwave.Headset will be set to False.
You can also use it as a module:
from mindwavelsl import MindwaveLSL mwlsl = MindwaveLSL('localhost', 13854) # Setup the LSL outlet and the ThinkGear connection mwlsl.setup() # Run the service mwlsl.run()
See how the
MindwavePythonWrapper connectors are implemented to add other connection options.
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