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The electrocardiographic (ECG) signal represents the electrical activity of the heart. Any cardiac dysfunction associated with excitation from ectopic centers anywhere in the myocardium leads to premature contractions (with supraventricular (atrial) or ventricular origin), which alter the RR interval duration and/or the QRS waveform. My research has been conducted to seek a solution to this problem. In this book, I have researched on PVC beat characteristics and proposed two detection algorithms. As the first method, I used EMD in the detection process whereas the second algorithm is based on morphological transform and correlation coefficient. Chapter 1 describes the background and objective of my research work. In chapter 2, the physiological basis of the ECG signal has been explored. I have described the major two signal processing tools used in the detection algorithms in chapter 3 and chapter 4. Chapter 5 contains the detailed ideas of my research work with corresponding detection process, results and limitations. A comparative study between the two methods based on EMD and correlation coefficient has also been discussed in chapter 5 with sufficient data.

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Tahsina Farah Sanam is currently doing her M.Sc in Electrical and Electronic Engg.(EEE) from Bangladesh University of Engineering & Technology(BUET) and has graduated in EEE from the same University in 2009. Now, she is working as a Lecturer at the Dept. of Electronic and Telecommunication Engg., Daffodil International University,Bangladesh.

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