Bitalino data acquisition and analysis

• Stream data from a Bitalino sensor to a CSV file or LSL.
• Pre-processing example with Neurokit2.

Bluetooth

Pair the bitalino: pin 1234.

On Linux bluetoothctl is useful for seeing exactly what is going on with bluetooth devices.

$ bluetoothctl --help
$ bluetoothctl devices
$ bluetoothctl info xx:xx:xx:xx:xx:xx
$ bluetoothctl pair xx:xx:xx:xx:xx:xx
$ bluetoothctl trust xx:xx:xx:xx:xx:xx
$ bluetoothctl connect xx:xx:xx:xx:xx:xx
$ bluetoothctl disconnect xx:xx:xx:xx:xx:xx

Disconnect before running the Python scripts as the PLUX library will establish a new connection.

Install

Virtual environment can be created and managed with uv or manually with venv and pip etc.

$ git clone https://gitlab.doc.gold.ac.uk/cc-project-demos/demo-eda-analysis.git
$ cd demo-eda-analysis
$ git submodule update --init
$ uv sync

Running

$ source .venv/bin/activate
$ bitalino-csv --help
$ bitalino-lsl --help

PLUX API

Uses PLUX Python API to access sensor data.

Biosignals only ship pre-compiled binaries of their SDK, and they are not packaged as installable Python components. This means the shared libraries for your particular OS must be available on your Python path. All current versions of the SDK are downloaded to ./src/plux/ using the above git submodule command. This demo tries to identify the correct one for you but this has only been tested on Linux!