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Electrocardiogram analysis for cardiac arrhythmia classification and prediction through self attention based auto encoder
Sudden cardiac arrest among young people is a recent worldwide risk, and it is noticed that people with cardiac arrhythmia are more susceptible to various heart diseases. Manual classification can be error-prone hence automation and accuracy must require.
