ECG signal analysis is very much needed for clinical diagnosis. This book describes various signal processing techniques that can be used for ECG analysis and arrhythmia detection. Five signal processing algorithms aimed at enhancement of the ECG data and subsequent arrhythmia detection 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. Various statistical measures are used for performance analysis of the proposed methods. Required data for testing these algorithms is taken from Physionet Archive.
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Sharmila Vallem obtained M.Tech from NIT, Warangal in 2005 and Ph.D from JNTU, Hyderabad in 2016. Presently working as Professor of ECE at KITS Singapur, Karimnagar, India.Ashoka Reddy Komalla obtained M.Tech from JNTU Kakinada, Ph.D from IIT Madras, India and working as Professor of ECE at KITS Warangal, India.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -ECG signal analysis is very much needed for clinical diagnosis. This book describes various signal processing techniques that can be used for ECG analysis and arrhythmia detection. Five signal processing algorithms aimed at enhancement of the ECG data and subsequent arrhythmia detection 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. Various statistical measures are used for performance analysis of the proposed methods. Required data for testing these algorithms is taken from Physionet Archive. 160 pp. Englisch. Bestandsnummer des Verkäufers 9783659939716
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - ECG signal analysis is very much needed for clinical diagnosis. This book describes various signal processing techniques that can be used for ECG analysis and arrhythmia detection. Five signal processing algorithms aimed at enhancement of the ECG data and subsequent arrhythmia detection 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. Various statistical measures are used for performance analysis of the proposed methods. Required data for testing these algorithms is taken from Physionet Archive. Bestandsnummer des Verkäufers 9783659939716
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Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Vallem SharmilaSharmila Vallem obtained M.Tech from NIT, Warangal in 2005 and Ph.D from JNTU, Hyderabad in 2016. Presently working as Professor of ECE at KITS Singapur, Karimnagar, India.Ashoka Reddy Komalla obtained M.Tech from JNT. Bestandsnummer des Verkäufers 287285899
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -ECG signal analysis is very much needed for clinical diagnosis. This book describes various signal processing techniques that can be used for ECG analysis and arrhythmia detection. Five signal processing algorithms aimed at enhancement of the ECG data and subsequent arrhythmia detection 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. Various statistical measures are used for performance analysis of the proposed methods. Required data for testing these algorithms is taken from Physionet Archive.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 160 pp. Englisch. Bestandsnummer des Verkäufers 9783659939716
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Paperback. Zustand: Brand New. 160 pages. 8.66x5.91x0.37 inches. In Stock. Bestandsnummer des Verkäufers 3659939714
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