Part 4: Monitoring EEG during Task
EEG recordings are highly sensitive to various sources of noise and artifacts, which can compromise data quality. This guide provides an overview of common issues that arise during EEG data collection, how to visually identify them, and best practices for handling them.
🕺 Participant Movement
PROBLEM
Movement artifacts are among the most common sources of noise in EEG. This could stem from a variety of sources such as:
fidgeting, shifting posture, or speaking can cause sudden jumps in the EEG signal
large muscle movements (e.g., jaw clenching, head tilts, scratching) introduce high-amplitude distortions
smaller repetitive movements (foot tapping) can rhythmically distort the signal and add motor cortex artifacts.
Regardless, any sort of movement will always lead to added noise into our signal, which is generally undesirable.
BEST PRACTICES
💥 Bad Electrodes
PROBLEM
Some electrodes may carry high noise in their signal despite low impedance. This could stem from a variety of reasons including:
electrode is sitting on a pulsating vein (i.e. picking up heart rate)
the participant has residual conditioner or sweat in their hair
the electrode is located in a high-movement area (cheeks/ears/eyes)
the electrode has reached its demise
Regardless of the reason, bad electrodes are a major barrier in later spatial analysis, if not handled correctly.
BEST PRACTICES
🔋 Electrical Noise
PROBLEM
Electromagnetic interference (EMI) from external sources can introduce periodic or constant noise in EEG recordings. Common sources include:
Power lines (50/60 Hz noise).
Electronic devices (phones, monitors, chargers).
Poor grounding of EEG equipment.
These issues will usually be evident right from the begininng of the recording - after impedances have been checked and fixed.
BEST PRACTICES
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