On the Use of Wavelet Domain and Machine Learning for the Analysis of Epileptic Seizure Detection from EEG Signals

Table 6

Comparison with the existing state of the art.

References	Year	Methods	Cases	CA (%)
[30]	2006	DWT adaptive neurofuzzy network	AD-E	85.9
[31]	2009	DWT + ApEn and surrogate data analysis	ACD-E	96.65
[18]	2010	Line length feature and ANN	A-E	99.6
			ACD-E	97.75
			ABCD-E	97.5
[20]	2011	Statistical features from DWT + kNN classifier	A-E	100.0
			AB-CD-E	95.6
[21]	2012	Permutation entropy + SVM	A-E	100.0
			B-E	82.88
			C-E	88.0
			D-E	79.94
[32]	2012	Statistical features from DWT + PCA + ANN classifier	A-E	100.0
[17]	2012	ApEp + SampEp + phase entropy 1 + phase entropy 2-Fuzzy Sugeno classifier	AB-CD-E	98.1
[29]	2013	DWT + permutation and sample entropy + Hurst exponent + genetic algorithm + extreme learning machine (ELM)	A-E	94.8
[34]	2013	DWT + Hurst and Lyapunov exponent	B-E	96.5
[24]	2014	Dual-tree complex wavelet transform + kNN transform	A-E	100.0
			CD-E	100.0
			ABCD-E	100.0
[25]	2015	Empirical mode decomposition-based temporal spectral features + SVM	A-E	100.0
[26]	2015	DTCWT + complex-valued neural network	AB-CD-E	98.28
[33]	2016	DTCWT + general regression neural network	A-E	100.0
			B-E	98.9
			C-E	98.7
			D-E	93.3
			AB-E	99.2
[28]	2016	Key-point based local binary pattern of EEG signals	CD-E	99.45
			AB-CD-E	98.8
[35]	2017	Tunable-Q wavelet transform + kNN entropy + SVM	AB-CD-E	98.6
[4]	2016	DWT – MVP + SD + AVP – NB/kNN classifier	A-E	100.0
			B-E	99.25
			C-E	99.5
			D-E	95.62
			AB-E	99.16
			AC-E	99.5
			AD-E	97.08
			BC-E	98.25
			BD-E	96.5
			CD-E	98.75
			ABC-E	98.68
			ACD-E	97.31
			BCD-E	97.72
			ABCD-E	97.1
[36]	2018	CNN	AB-CD-E	88.67
[37]	2018	CNN	A-E	100
			B-E	99.8
			C-E	99.1
			D-E	99.4
			AB-E	99.8
			AC-E	99.7
			BC-E	99.5
			BD-E	99.6
			CD-E	99.7
			ABC-E	99.97
			ACD-E	99.8
			BCD-E	99.3
			ABCD-E	99.7
			AB-CD	99.9
			AB-CD-E	99.1
			AB-CDE	99.7
This work (University of Bonn dataset)	2020	DWT + SVM/KNN/NB/DT	A-E	100.0
			B-E	100.0
			C-E	100.0
			D-E	97.5
			AB-E	100.0
			AC-E	98.67
			AD-E	98.0
			BC-E	98.67
			BD-E	96.33
			CD-E	98.0
			ABC-E	99.0
			ABD-E	97.0
			ACD-E	98.25
			BCD-E	97.0
			ABCD-E	100.0
			AB-CD	82.5
			AB-CD-E	95.0
This work (real-time clinical dataset)	2020	DWT + SVM/KNN/NB/DT	Healthy- epileptic patient	91.67