Table 4 Statistical features and their description.
Features | Description |
|---|---|
Geometric mean | The \(\:n-th\) root of the product of n EEG signals is the geometric mean. |
Kurtosis | Measures the “peakedness” or flatness of the EEG signal, which can be useful for detecting burst-like activities. |
Skewness | Assesses the asymmetry of the EEG signal distribution, indicating extreme activity on one side. |
Root Mean Square (RMS) | A measure of the energy content within the EEG signal, often associated with signal power. |
Range | Difference between maximum and minimum values in the EEG data, showing the spread in measurements. |
