Arrhythmia Detection

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Abstract
Electrocardiogram (ECG) signal has been widely used for heart diagnosis. This paper presents a VLSI based design of high speed and area efficient distributive arithmetic discrete wavelet transform (DA-DWT) for Arrhythmia Detection and its FPGA implementation. The main focus of the work is to filter and detect the QRS complex in the ECG signal and to identify the time and frequency variations. By comparing these variations with that of the variations in the normal ECG waveform one may reach to a conclusion if the patient is suffering from Arrhythmia or not. The DA-DWT is also used to filter the ECG signal so as to detect the ECG signal for Arrhythmia Detection.
Key Words
DA-DWT, ECG, FPGA, QRS Complex

1. INTRODUCTION
Major causes of threat to life are the diseases associated with heart. Arrhythmia is one such heart disorder which is an irregularity in heart beat. In cases of Arrhythmia the heart may beat either too fast or slow. Heart Arrhythmias occur when the electrical impulses in heart that coordinates your heartbeats don't work properly, causing your heart to beat too fast, too slow or
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The ECG signal that is non stationary has P, QRS complex and T waves. The duration of each of the waves signifies the electrical activity of the heart. P wave indicates the atrial contraction or depolarization. PR interval indicates the time duration for the travel of the depolarization wave from the atria to the ventricles. QRS complex indicates ventricular depolarization.ST segment shows the time between ventricular depolarization and the starting of repolarisation. And the T wave shows the ventricular repolarisation. For detecting the heart rate QRS complex detection is necessary. Among all the waves in the signal the QRS complex has higher

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