Automatic Sleep Stage Classification Based on Convolutional Neural Network and Fine-Grained Segments

Table 4

Evaluation results of our previous work using RBF.

Networks	Stages	Precision		Sensitivity		Specificity		Accuracy
		Best	Worst	Best	Worst	Best	Worst	Best	Worst
RBF	W	0.9901	0.7621	0.9516	0.100	0.9486	0.8842	0.8867	0.7588
	N1	0.8943	0.7712	0.7988	0.5100	0.7845	0.5892	0.7226	0.5429
	N2	0.9924	0.8478	0.8578	0.2210	1	0.7356	0.9021	0.7788
	N3	0.9788	0.8034	0.90 88	0.5443	1	0.8932	0.9460	0.6821
	REM	0.9455	0.8732	0.8088	0.5087	1	0.7921	0.9045	0.7813
	Average	0.8793		0.6056		0.8592		0.817