EEG Data Processor

EEG Data Processor is a desktop application built with Python and PyQt6 for processing raw EEG recordings from the Muse 2/S Athena headband.

It provides three main tools in a tabbed interface:

EEG Processor — Cleans a raw CSV by removing noise, bad signal quality rows, and all-zero brainwave entries. Supports optional user ID tagging, timestamp range filtering, session section labeling (manual or imported from a .txt report), and three output sampling modes: original rate (~256 records/s), reduced to 1 record/second, or reduced to 1 record/minute.

Data Combiner — Concatenates multiple preprocessed EEG CSV files from different participants into a single unified dataset, sorted by user and timestamp.

Data Integration — Merges the EEG dataset with secondary sources such as Embrace Plus wearable data or survey responses, using configurable join keys, join types (inner, left, outer), and automatic timestamp format normalization.