[Retracted] Classification of Lactate Level Using Resting-State EEG Measurements

Table 4

Score results of various objective studies.

Study	Year	Electrode no.	Study objective	Applied algorithms	Accuracy %
[29]	2016	14	Classify facial movement and expressions by a noninvasive EEG signals	KNN	98.0
[30]	2018	1	Analyze EEG signals from different cognitive states to control BCI devices	LDA, SVM, KNN	95.0, 100.0, 100.0
[33]	2014	128	EEG signal classification recorded while doing a complex cognitive task	ANN, SVM, MLP, KNN, Naïve Bayes	88.89, 98.75 98.57, 98.21 83.57
[34]	2016	12	Monitoring EEG signal while driving to detect the driver fatigue state	SVM	91.28
[35]	2019	19	EEG signal features extraction and classification during fatigue exercise	SVM	90.0
Present study	2020	16	Classify resting-state EEG to predict lactate, high or low	KNN, DT, LR	98.4, 98.0, 70.0