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

Sivappagari, Chandra Mohan Reddy

 
9786202302166: Techniques To Remove Power Line Interference From ECG Signal: using Adaptive Filter Algorithms
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ISBN 10: 620230216X ISBN 13: 9786202302166
Editorial: Scholars' Press, 2017

Sinopsis

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.

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Reseña del editor

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.

Biografía del autor

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.

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Editorial
Scholars' Press
Año de publicación
2017
Idioma
Inglés
ISBN 10 
620230216X
ISBN 13 
9786202302166
Encuadernación
Tapa blanda
Número de páginas
56
Contacto del fabricante
no disponible
Persona responsable
no disponible