Signal Processing methods for ECG Analysis

Language: English

Published by LAP LAMBERT Academic Publishing Okt 2017, 2017

3330003847 / 9783330003842

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Softcover

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This item is printed on demand - Print on Demand Titel. Neuware -ECG signals give important diagnostic information in cardiology. To take advantage of it, the ECGs are to be properly processed for effective analysis and interpretation. New methods for processing and analysis of ECG signals are proposed in this book. In general, the ECG signals are quasi-periodic of low amplitude (several mV). They are often affected by noise signals which include powerline interference, baseline wander, EMG artifacts, etc, Hence, the data may be corrupted with these noise signals and it is essential to be filtered for the real-time heart monitoring systems. A new method called Gaussian Mean Variant (GMV) filtering is proposed for ECG filtering. Statistical measures like root mean square error (RMSE), root mean square deviation (RMSD) and root mean square variation (RMSV) established the efficacy of the proposed method compared to adaptive filters and other conventional methods. The successive step of ECG signal analysis is formation of a feature space. To this end, a method based on Integrated Peak Analyzer (IPA) is proposed for extraction of features. An efficient method named Multimodal Decision Learning (MDL) algorithm is proposed for classification of ECGs.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch.…

Seller Inventory # 9783330003842

Title
Signal Processing methods for ECG Analysis
Author
Rajender Naik Guguloth
Publisher
LAP LAMBERT Academic Publishing Okt 2017
Publication year
2017
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3330003847
ISBN 13
9783330003842
Item weight
280 grams
Dimensions
220x150x12 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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