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Genetic fuzzy logic based system for arrhythmia classification  109


                         1.2
                                           R
                           1
                         0.8
                         0.6
                       Voltage (mV)  0.2 0                T
                         0.4



                        –0.2          P
                        –0.4
                        –0.6                   S
                        –0.8
                            0.2  0.3  0.4  0.5  0.6  0.7  0.8  0.9
                                              Time(s)
              Fig. 3 Normal Sinus Rhythm heartbeat.




                 Fig. 3 represents a single heartbeat which consists of three electrical wave
              shapes. The P wave represents the contractions that pump blood in the
              upper chambers of the heart. It is named atrial depolarization. However,
              the QRS complex and the T wave represent activity in the lower chambers
              of the heart. They involve the ventricular depolarization and ventricular
              repolarization, respectively (Chen et al., 2017).
                 Fig. 4 shows the four arrhythmias: PVC, P, LBBB and RBBB. Fig. 4A
              and B describe PVC and P beats, respectively. The PVC beats correspond to
              premature contraction of one of the ventricles. The paced beats are gener-
              ated by a pacemaker and they are detected by the enlarged RR intervals
              (>280ms). However, Fig. 4C and D represent the LBBB and RBBB
              arrhythmias, respectively. In fact, both of them are identified by the presence
              of a widened QRS complex (>120ms). Particularly, LBBB arrhythmia is
              detected by a wrong displacement of ST and T waves. Indeed, they are
              mostly opposite to the major deflection of the QRS complex. However,
              the RBBB arrhythmia is identified by a slurred S wave.



              2.1 Preprocessing
              The classification must be preceded by a pre-processing phase. It consists
              mainly of two main blocks: the ECG signal filtering and feature extraction.
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