Techniques To Remove Power Line Interference From ECG Signal
using Adaptive Filter Algorithms
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- Autor: Chandra Mohan Reddy Sivappagari
- 2017, 56 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: Scholar's Press
- ISBN-10: 620230216X
- ISBN-13: 9786202302166
Sprache:
Englisch
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