![]() ![]() For a healthy person, one heart beat consists of P, QRS Complex, T, and in some signals U waves. ![]() EKG features play the main role in diagnosing the heart rate, normality and abnormality of heart activities, and heart diseases. Removing these noises result in cleaner signal that can be conveniently processed to extract important features such as heart health condition. These noises affect the signal to noise ratio (SNR) especially in P and T waves which have less amplitudes than R peaks. Nonetheless, this signal is affected by various noise including baseline wondering and power interference. EKG signal is an electrical signal represents the physical human’s heart activity. The need of effective method to obtain and analyse electrocardiogram (EKG) signal has inspired This research paper to designed an efficient algorithm that can handle any (EKG), remove the most dominant noises associated with it, and extract the important futures. ![]()
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