is it possible to save the PPG data from Muse 2 (with bluemuse and/or brainflow)? about eeg-expy

[JohnGriffiths]

Ciao @danielemarinazzo

We haven't tried using the ppg and accelerometer data in eegnb. Mainly because it hasn't been straightforward to access that data previously.

Blusemuse does send the ppg chans, to a separate lsl stream as the eeg. You can see this in the blue muse gui.

The preferred streaming option is now Brainflow not Blusemuse however.

Previously Brainflow did not support anything other than the eeg chans from muse. However I just took a look at the docs and it looks like it does indeed now allow accelerometer and ppg chans to be pulled also -

Available BrainFlow Presets:

BrainFlowPresets.DEFAULT_PRESET, it contains EEG data, to enable 5th EEG channel use board.config_board("p50")

BrainFlowPresets.AUXILIARY_PRESET, it contains Gyro and Accel data, enabled by default

BrainFlowPresets.ANCILLARY_PRESET, it contains PPG data, to enable it use board.config_board("p61")

I think it would be a very good idea to switch to always grabbing those additional streams by default in the eegnb EEG muse device class, and output cav file, IF doing so does not prove too difficult.

One difficulty that could arise is that the sampling rate is different for the ppg to the eeg.

A PR attempting this would be superb! Remember to fork from develop when doing so, not main.

Thoughts?

[tmorshed]

So, one idea is to add a new device type to the devices.eeg board type, e.g., named "museX_bfp":
https://github.com/NeuroTechX/eeg-notebooks/blob/ac1f5fb14d3c2baa8be0cc6ef0cfb87671060e95/eegnb/devices/eeg.py#L33

This could use the pertinent board config from brainflow and get the new channels. Updating the old device types may be tricky as it may add dimensions and mess up with legacy code and experiments/analyses.

Also see: https://github.com/brainflow-dev/brainflow/blob/master/python_package/examples/tests/muse_ppg.py