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

Table 2

Example of algorithm evaluation on 10 “healthy” and 10 “sick” patients.

Patient	SMAPE (HS + TS)	SMAPE (SS + TS)	Result	Actual	Match
H11	3.38232	3.30989	Sick	Healthy	NO
H12	1.33555	3.40168	Healthy	Healthy	YES
H13	2.73377	4.58243	Healthy	Healthy	YES
H14	3.44581	2.37995	Sick	Healthy	NO
H15	2.04677	2.30998	Healthy	Healthy	YES
H16	3.73377	3.98572	Healthy	Healthy	YES
H17	1.03658	2.20151	Healthy	Healthy	YES
H18	3.22689	2.38111	Sick	Healthy	NO
H19	2.43544	3.42159	Healthy	Healthy	YES
H20	2.63355	3.79940	Healthy	Healthy	YES
S11	1.72265	1.31922	Sick	Sick	YES
S12	2.04804	0.38562	Sick	Sick	YES
S13	2.99464	0.51305	Sick	Sick	YES
S14	2.52248	0.67941	Sick	Sick	YES
S15	2.65972	1.75233	Sick	Sick	YES
S16	2.63674	2.39694	Sick	Sick	YES
S17	2.57638	1.65941	Sick	Sick	YES
S18	4.24496	2.85006	Sick	Sick	YES
S19	2.96533	1.01009	Sick	Sick	YES
S20	3.23630	1.10960	Sick	Sick	YES