DWT-Net: Seizure Detection System with Structured EEG Montage and Multiple Feature Extractor in Convolution Neural Network

Table 5

Results of the proposed seizure detection system in comparison with results reported in other work.

	System/ value	Sensitivity	Specificity	FAR
Deep learning methods in [14]	HMM	30.32%	80.07%	244
	HMM/SdA	35.35%	73.35%	77
	HMM/LSTM	30.05%	80.53%	60
	IPCA/LSTM	32.97%	77.57%	73
	CNN/MLP	39.09%	76.84%	77
	CNN/LSTM	30.83%	96.86%	7
Our DWT-Net system based on 5-second DWT-Net		25.44%	97.05%	3
	= 76%	30.25%	96.64%	4
		33.45%	96.10%	5
		42.35%	94.93%	6
	= 35%	59.07%	89.72%	12
Our DWT-Net system based on 1-second DWT-Net		19.40%	95.01%	6
	= 83.2%	30.07%	93.83%	7
		33.45%	96.10%	5
		42.35%	94.93%	6
	= 62.6%	49.29%	72%	12