What is TGAM-LSL-Bridge

In short, this tool transfers TGMA data into LSL Stream, so data can be processed by open source NeurScience tools that supports LSL.

In details, it is a bridge that sends LSL Stream data, which is forwarded from BLE-USB adaptor, which forwards EEG data from NeuroSky TGAM device.

Positioning

The position of TGAM-LSL-Bridge in toolchain/topology used by me personally, is shown below:

How to Run

• turn on TGAM head band
• makde sure that your COM port specificied in NeuroSkyTGAM-LSL-Bridge.py, is identical to the one shown on PC
• run following command in src forder:

python ./NeuroSkyTGAM-LSL-Bridge.py

Then you should be able to see output like this:

Started Stream: < sInfo 'TGAM EEG Stream' >
  | Type: EEG
  | Sampling: 512.0 Hz
  | Number of channels: 1
  | Data type: <class 'numpy.int16'>
  | Source: TGAM-LSL-Bridge

* Established connection with COM5
* Started Forwarding COM data to Stream...

• then run following command, will see the output of Stream

mne-lsl viewer