Figure 8.

Overall architecture of the classifier developed in this work. From left to right: first, for a given example $n$, we evaluate the entries of the vector x_n and we use this as input for the machine. The number of entries in the input vector is $N=41$. This input is then simultaneously passed to the H/NH block – which evaluates whether the example corresponds to a healthy unit or not – to the AF/NAF block – which evaluates whether the example corresponds to a unit displaying atrial fibrillation or not – and to the CD/NCD block – which evaluates whether the example corresponds to a unit displaying congestive heart failure or not. The outcomes stemming from this layer are compared checking for consistency; if this test is passed the outer layer provides the classification.