Exploring Douglas-Peucker Algorithm in the Detection of Epileptic Seizure from Multicategory EEG Signals

Table 6

Comparison with the existing methods on epileptic EEG database.

Methods	Datasets	Statistical parameters (%)
		Sensitivity (Se)	Specificity (Sp)	Overall classification accuracy (OCA)
Proposed Method	Set A	99.79	99.96	99.85
	Set B	99.85	99.97
	Set C	99.96	99.90
	Set D	99.71	99.99
	Set E	100.00	100.00
Emigdio et al. (2016) [37]	Set A	95.30	99.26	97.60
	Set B	96.83	98.69
	Set C	97.23	99.53
	Set D	98.40	99.42
	Set E	99.28	99.80
Murugavel and Ramakrishnan (2016) [48]	Set A	93.25	98.42	93.63
	Set B	93.63	98.36
	Set C	94.00	98.16
	Set D	94.13	97.17
	Set E	93.13	99.54
Ubeyli (2010) [47]	Set A	98.00	99.62	98.05
	Set B	98.25	99.53
	Set C	98.13	99.37
	Set D	98.00	99.15
	Set E	97.88	99.87
Ubeyli (2009) [46]	Set A	99.25	99.84	99.20
	Set B	99.13	99.81
	Set C	99.25	99.72
	Set D	99.38	99.62
	Set E	99.00	100.00
Ubeyli (2008) [39]	Set A	99.38	99.81	99.30
	Set B	99.25	99.87
	Set C	99.13	99.78
	Set D	99.50	99.65
	Set E	99.25	100.00
Guler and Ubeyli (2007) [40]	Set A	99.25	99.84	99.28
	Set B	99.38	99.84
	Set C	99.25	99.75
	Set D	99.38	99.65
	Set E	99.13	100.00