ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster

Table 1

The training set.

Patterns	Inputs										Outputs
H1	1.000	0.672	0.155	0.000	0.045	0.057	0.049	0.049	0.053	0.055	1	0	0	0	0	0	0	0
H2	0.000	0.273	0.600	0.782	1.000	0.945	0.945	0.799	0.618	0.418	0	1	0	0	0	0	0	0
H3	0.485	0.449	0.147	0.007	0.007	0.000	0.169	0.632	1.000	0.757	0	0	1	0	0	0	0	0
H4	0.035	0.000	0.170	0.338	0.356	0.309	0.430	0.719	1.000	0.946	0	0	0	1	0	0	0	0
S1	1.000	0.740	0.228	0.000	0.045	0.091	0.098	0.101	0.104	0.107	0	0	0	0	1	0	0	0
S2	0.000	0.123	0.304	0.495	0.536	0.883	0.851	1.000	0.796	0.761	0	0	0	0	0	1	0	0
S3	0.044	0.000	0.045	0.319	0.748	1.000	0.868	0.440	0.154	0.050	0	0	0	0	0	0	1	0
S4	0.033	0.000	0.000	0.085	0.360	0.779	1.000	0.820	0.399	0.079	0	0	0	0	0	0	0	1