Abstract: Heart arrhythmia may be a heart state during which the heartbeat is irregular. The heartbeat possibly is excessively quick, excessively slow, or unstable. Electrocardiography (ECG) is utilized for the detection of heart arrhythmia. Since ECG signals reflect the physiological states of the heart, specialists use ECG signs to analyze heart arrhythmia. Thus, the advancement of programmed procedures for recognizing strange states of ECG signals from the everyday recorded ECG information is of crucial significance. Additionally, ideal medical aid measures can be successfully applied if such unusual heart conditions can be distinguished naturally utilizing the wellbeing observing gear which will inside utilize the Machine Learning algorithms.
Keywords: Electrocardiography, ECG, Machine Learning, cardiac arrhythmia
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DOI:
10.17148/IJARCCE.2021.10698
