Lightweight, live, modular. Simple csv based EEG analysis tool specifically made for the WAVI eeg headset but analysis tools and structures are open to all! WAVI dataset info for porting to MNE available.
All of or processes are done with numpy arrays and made availble to you for custom functions.
We have published docker images for easy use and deployment. We also provide a structure to do live analysis on incoming data from the WAVI headset.
All of our processes are broken down into modules that can be used in any order and in any combination. However, we provide a Chain class that allows you to easily chain together modules in a pipeline.
Parsers that are specific to the WAVI headset are provided to make it easy to get started with your own analysis. However, the WAVI datasets are also available to port to MNE format.
need example of porting from wave dataset and then sending information to mne
import pandas as pd
eeg_data = pd.read_csv('your_eeg_data.csv') import mne
info = mne.create_info(ch_names=['EEG1', 'EEG2', ...], sfreq=your_sampling_rate) raw = mne.io.RawArray(eeg_data.T, info)