1. Physiological
Artifacts:
o Muscle Artifacts: Caused by
electromyographic (EMG) activity from muscle contractions, which can obscure
EEG signals.
o Cardiac Artifacts: Result from
electrical and mechanical effects of the heart's activity, including pacemaker
artifacts and pulse artifacts.
o Ocular Artifacts: Arise from eye
movements and blinks, affecting EEG recordings, especially in frontal regions.
2. Environmental
Artifacts:
oElectrical
Interference: Result from devices in the environment emitting
electrical signals, such as 60 Hz electrical artifacts.
o Mechanical
Interference: Arise from physical movements or interactions with the
EEG recording setup, leading to artifacts like ballistocardiographic artifacts.
3. Technical
Artifacts:
o Electrode
Artifacts:
Caused by issues with electrode placement, impedance mismatches, or movement
artifacts during recording.
o Amplifier
Artifacts:
Result from problems with the EEG amplifier, such as saturation, noise, or
improper settings.
4. Biological
Artifacts:
o Electrode Popping: Occurs when
electrodes lose contact with the scalp, leading to sudden changes in EEG
signals.
o Electrode Drift: Results from gradual
changes in electrode contact or impedance over time, affecting signal quality.
5. Artifact Mimics:
o Benign
Epileptiform Transients of Sleep (BETS): Resemble ECG artifacts but can be differentiated based
on waveform characteristics and temporal correspondence to ECG signals.
o Focal Ictal and
Interictal Epileptiform Discharges: Differentiated from ECG artifacts based on waveform
features, location, and occurrence patterns.
Understanding the
classification of EEG artifacts based on their sources and characteristics is
essential for identifying and mitigating these unwanted signals during EEG
interpretation. Proper recognition and differentiation of artifacts from
genuine brain activity are crucial for accurate clinical diagnosis and
treatment decisions.
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