Table 1 Computed EEG features
From: A knowledge discovery methodology from EEG data for cyclic alternating pattern detection
Measure | Acronym | Frequency band (φ) | |||||
|---|---|---|---|---|---|---|---|
BB | \(\delta\) | \(\theta\) | \(\alpha\) | \(\sigma\) | β | ||
Macro–micro structure descriptor | MMSDφ | ✓ | ✓ | ✓ | ✓ | ✓ | |
\(C_{\varphi ,\tau }\) | ✓ | ✓ | ✓ | ✓ | ✓ | ||
\(C_{{\varphi ,\tau_{0} }}\) | ✓ | ✓ | ✓ | ✓ | ✓ | ||
Teager energy operator | \({\text{TEO}}_{\varphi }\) | ✓ | ✓ | ✓ | ✓ | ✓ | |
Zero-crossing ratio | \({\text{ZCR}}_{\varphi }\) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Lempel–Ziv complexity | \({\text{LZC}}_{\varphi }\) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Discrete time | \(Max\_freq\) | ✓ | |||||
Short-time | \(Mean\_freq\) | ✓ | |||||
Fourier transform | \(Spec\_area\) | ✓ | |||||
Empirical mode decomposition | \({\text{EMD}}_{l}\) | ✓ | |||||
Shannon entropy | ShEnt | ✓ | |||||
Fractal dimension | FD | ✓ | |||||
Variance | \(s_{\varphi }^{2}\) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |