ASR Validation Skill: SSVEP & Artifacts

Objective

Implement and validate Artifact Subspace Reconstruction (ASR) (specifically the clean_rawdata algorithm) using the 8-Channel SSVEP EEG Dataset with Artifact Trials (ds004745).

The core goal is to demonstrate that ASR can remove large-amplitude muscle and motion artifacts while preserving the underlying steady-state visually evoked potentials (SSVEP) at 2 Hz, 4 Hz, and 8 Hz.

Dataset Context

• Dataset ID: ds004745
• Features:
  • SSVEP Task: Users watch flickering lights at 2, 4, 8 Hz.
  • Artifact Trials: Users intentionally perform artifacts (head movement, jaw clench, eye blink) during the task.
  • Channels: 8 (Low channel count is a stress test for ASR).

Workflow Instructions