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The electrocardiogram provides valuable information about the heart. It is used to diagnose various cardiac diseases. This paper proposes a method of detecting arrhythmia using the raw ECG signal. The multiple parameters of an ECG signal are used for assessing the status of heart disease. The disease type that can be detected using these signals is atrial fibrillation, tachycardia, and sinus tachycardia. Early detection of heart disease can save many lives. It can be seen through various means, such as medical examinations, computed tomography scans, and electronic heart signals. In this paper, the objective is to find a way to improve the detection of H.D. data with better accuracy. The proposed classification models are based on the notion of classification.
Alan : Fen Bilimleri ve Matematik; Sağlık Bilimleri
Dergi Türü : Uluslararası
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