Table 3 Frequency 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

Energy

The energy \(\:{e}_{i}\)represents the power within the sub-band \(\:i\) and is calculated.

Entropy

Entropy provides a measure of the unpredictability in each frequency band

Mean

Average coefficient value for sub-band iii, indicating central tendency.

Standard deviation

Spread of the coefficient values, indicating variability within the sub-band \(\:i\).

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