A Pervasive Approach to EEG-Based Depression Detection
Table 3
Classification results in resting state data.
Classifier
Feature sets
Accuracy
SVM
Absolute power of theta wave (Fp1), relative power of theta wave (Fp1), relative power of alpha wave (Fp1), absolute center frequency of gamma wave (Fp1)
72.56%
KNN
Absolute power of gamma wave (Fp1), absolute power of theta wave (Fp2), absolute power of beta wave (Fp2), absolute center frequency of beta wave (Fp2)
76.83%
CT
Peak (Fp1), Power-Spectral Entropy of full band EEG (Fp1), absolute power of beta wave (Fp2)
68.29%
ANN
Absolute center frequency of beta wave (Fp1), absolute power of gamma wave (Fp1), Kurtosis of full band EEG (Fp1), absolute power of alpha wave (Fp2), relative center frequency of beta wave (Fp2)
