Bendaimi, AmiraAzrar, Arab (Supervisor)2023-10-012023-10-012021https://dspace.univ-boumerdes.dz/handle/123456789/1211233 p.This report proposes a method for automatic heartbeat classification into four classes recommended by AAMI EC57:1998 standard, i.e., normal beat(N), ventricular ectopic beat (VEB), supraventricular ectopic beat (SVEB) or fusion of normal and VEB beat. The classification is divided into two steps, the first one is the determination of normality/abnormality of the heartbeat, then identify the type of abnormality if it exists. Data was obtained from two databases: the 44 non-pacemaker recordings of MIT-BIH arrythmia database, and the St Petersburg INCART database which consists of 75 recordings. Two data distributions were used during the implementation, the first is splitting MIT-enUda AntennaMiniaturized Microstrip YagiThesis