Some Methods for ECG Signal Analysis for Arrhythmia Detection

Language: English

Published by LAP LAMBERT Academic Publishing Jun 2017, 2017

3330334606 / 9783330334601

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This item is printed on demand - Print on Demand Titel. Neuware -The ECG is an electrical manifestation of contractile activity of the heart. Artifacts like 50/60 Hz power line interference, baseline wander and electromyogram will disturb the ECG morphology, making the analysis of ECG difficult.Five signal processing algorithms aimed at enhancement of the ECG data and subsequent arrhythmia detection are presented in this book. They are (1) Multiscale principal component analysis (MSPCA) based algorithm for enhancing the ECG data, (2) Cumulant based autoregressive modeling algorithm for ECG enhancement, (3) Higher order statistics (HOS) for arrhythmia detection, (4) Cumulant based Teager energy operator(TEO) for arrhythmia detection, (5) PVC identification using Discrete cosine transform (DCT)-Teager energy operator (TEO) model. The efficiency of the algorithms, is evaluated in terms of statistical measures like Root mean square error (RMSE), Root mean square deviation (RMSD), Root mean square variance (RMSV) and correlation coefficient. The methods are compared with the existing well-known adaptive filter and Empirical mode decomposition based methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch.…

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Title
Some Methods for ECG Signal Analysis for Arrhythmia Detection
Author
Sharmila Vallem
Publisher
LAP LAMBERT Academic Publishing Jun 2017
Publication year
2017
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3330334606
ISBN 13
9783330334601
Item weight
227 grams
Dimensions
220x150x9 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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