Table 2 Time features and their description.

From: Early attention-deficit/hyperactivity disorder (ADHD) with NeuroDCT-ICA and rhinofish optimization (RFO) algorithm based optimized ADHD-AttentionNet

Feature

Description

Interpretation

Mean

The average value of the EEG signal over a time segment. It shows the overall level of brain activity.

Higher mean values recommend sharp brain activity, like during tasks or arousal.

Lower mean values specify relaxed states, such as deep sleep or rest.

Variance

Measures how much the EEG signal varies around the mean. It designates the variability of brain activity.

High variance replicates irregular signals, seen in active cognitive states or neurological events.

Low variance recommends stable, calm brain states or absence of stimulation.

Peak amplitude

The maximum absolute value of the EEG signal in the segment, representing the intensity of neural events.

High peak amplitude could specify brain events like seizures or pathological phenomena.

Low peak amplitude is characteristic in resting states or low cognitive/sensory demand.