Overview

Cardio-vascular disease (CVD) is a type of abnormality of faithful heart function. These medical conditions relate to the abnormal health conditions that directly affecting the heart and all its components. Due to the negligently treating, every year, lot of people were maximally suffering by CVDs which is reported by The World health organization [1]-[4]. Among the CVDs, heart failure is caused by the heart inability in pumping required blood for the need of body and sudden heart attacks occur when normal blood circulation ceases because the heart fails contract effectively. Today's biotelemetry is an efficient tool to diagnose about the cardiac abnormalities if the patient is too far to take help from specialist [5]-[6]. The cardiac signal, also called the electrocardiogram (ECG) signal is extracted by a wearable acquisition device and sent through a biotelemetry system to the hospital. The doctor then analyses the signal to take decision for the appropriate action, and the decision is sent to the side where the patient is required for the quick action [7]-[8]. The main considering point here is the ECG signal was interfered with different types of artefacts during the acquisition. Among the artefacts, Power Line Interference (PLI), Baseline Wander (BW), Muscle Artefacts (MA) and Electrode Motion artefacts (EM) are interested as the commonly occurred artefacts. The ECG signal quality is very important in clinical monitoring and diagnosis. These artefacts affect the ECG signal quality. Hence, the need of investigation is high on this issue to extract the high resolution ECG signals from impure recordings which were contaminated with background noise. Therefore in interpretation of easy and accurate ECG, Signal enhancement by filtering is desirable to separate the valid signal components from undesirable artefacts.

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