TABLE 1.

Description of the different classification scenarios.

Scenario	Training	Classification Strategy
Scenario 1 (Sc1)	SVM model trained with simulated signals (DS-2496) or augmented simulatedsignals (DS-7488)	down-sampled raw signal; feature-based ECG signals; 10 best features
Scenario 2 (Sc2)	SVM model trained with real signals (DS-334; DS-31)	down-sampled raw signal; feature-based ECG signals
Scenario 3 (Sc3)	SVM model trained with a hybrid training set (DS-334) + (DS-2496); (DS-31) +(DS-2496)	down-sampled raw signal; feature-based ECG signals