Techniques To Remove Power Line Interference From ECG Signal: using Adaptive Filter Algorithms

Sivappagari, Chandra Mohan Reddy

ISBN 10: 620230216X / ISBN 13: 9786202302166

Published by Scholars' Press, 2017

About this Item

56 pages. 8.66x5.91x0.13 inches. In Stock.

Seller Inventory # zk620230216X

Bibliographic Details

• Title: Techniques To Remove Power Line Interference From ECG Signal: using Adaptive Filter Algorithms
• Publisher: Scholars' Press
• Publication Date: 2017
• Language: English
• ISBN 10: 620230216X
• ISBN 13: 9786202302166
• Binding: Paperback
• Condition: Brand New
• Weight: 0.13 kilograms

About this title

Synopsis

The ElectroCardioGram (ECG) signal is a graphical representation of the human heart activity. The acquired ECG signal is interfered with different artefacts. Power Line Interference (PLI) is the main source of noise to affect the ECG signal. Adaptive filtering techniques like Least Mean Square (LMS), Normalized Least Mean Square (NLMS) and Error Nonlinearity Least Mean Square (ENLMS) are used to remove the noise from ECG signal. The three algorithms are developed and the performance the three algorithms are analyzed. Among the three algorithms, ENLMS algorithm effectively removes the PLI from ECG signals and gives better results compared to LMS and NLMS.

About the Author

Dr. Chandra Mohan Reddy Sivappagari is working as Associate Professor in Jawaharlal Nehru Technological University Ananatapur (JNTUA), Ananthapuramu, Andhra Pradesh, India. He completed his Ph.D from JNTUA in the year 2014. He is a member of IEEE, Life member of Institution of Engineers India (IEI), ISTE and IAENG.