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Table 2 Pseudocode of proposed method

From: Detection of Alzheimer and mild cognitive impairment patients by Poincare and Entropy methods based on electroencephalography signals

Inputs: data, entropy and poincare parameters (lag, number of dimensions), epoch length, and machine learning parameters

Feature_Matrix ← Empty list to store extracted features

For i = 1: number of epochs

Extract features using Entropy and Poincare methods (Data(i))

Features ← Concatenate (Entropy_Features, Poincare_Features)

Add Features to Feature_Matrix

Evaluate Results (Apply ML on Feature_Matrix)