Table 3 List of all the 29 extracted features and their respective abbreviations.
From: Combining meta and ensemble learning to classify EEG for seizure detection
Type | Features and sequence numbers | ||
|---|---|---|---|
Domain Time | 2-Median42 | 7-Max42 | 8- Min42 |
1-STD(Standard)42 | 3-KUS(Kurtosis)43 | 5-SKN(Skewness)43 | |
4-RMS(Root mean square)42 | 6-MAD(Mean absolute deviation)42 | ||
9-FD(First difference)44 | 10-NFD(Normalized first difference) | ||
11-SD(Second difference)44 | 12-NSD(Normalized second difference ) | ||
14-ZC(Zero crossing)45 | 15-HA(Hjorth activity)46 | ||
16-HM(Hjorth mobility)46 | 17-HC(Hjorth complexity)46 | ||
Linear Non | 18-MCL(Mean curve length)45 | 19-ME((Mean energy)45 | |
20-MTE(Mean teager energy)45 | |||
21-LRSSV(Log root sum of sequential variation)46 | |||
Based Entropy | 13-entropy47 | 22-TE(Tsallis entropy) 23-SE(Shannon entropy)48 | |
25-RE(Renyi entropy)48 | 24-LEE(Log energy entropy)48 | ||
26-ApEn(ApproximateEntropy) | 27-PrEn(PermutationEntropy) | ||
28-SampEn(SampleEntropy)5 | 29-FzEn(FuzzyEntropy) | ||
