Anomalies Check
Last updated
Last updated
On the 'Raw Data' screen, configure 'Graph Settings' as follows:
Amplitude Scale (μVp-p): 100
Time Scale (sec): 10
Several anomalies may compromise the quality of EEG data collected from dry sensors. Identifying and addressing these anomalies is imperative for accurate interpretation.
1. Poor Contact: Incomplete contact between sensor and scalp, leading to low signal amplitude and high impedance.
Flat or noisy signals compared to nearby electrodes.
Visible air gaps between the sensor and the scalp.
2. Skin Movement: Scalp or hair movement due to participant activity, muscle engagement, or perspiration.
High-frequency noise bursts.
Erratic fluctuations in signal amplitude.
3. Interference: External electrical noise from sources like power lines, computers, or electronic devices.
Consistent 50/60Hz hum in the signal.
Spikes or bursts of noise unrelated to brain activity.
4. Sensor Malfunction: Hardware failure or sensor damage.
Complete absence of signal from a specific channel.
Erratic or distorted signals differing from other channels.
Additional Checks:
Identify flat lines on Fp1 and Fp2 channels. These could possibly indicate eye blinking.
Ensure consistency in graphs between corresponding sensors on the left and right hemisphere.
