Anomalies Check

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.