Vala deepak (6 résultats)
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Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books
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Paperback. Etat : Brand New. 164 pages. 8.66x5.91x0.37 inches. In Stock.
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Vendeur : preigu, Osnabrück, Allemagnepreigu
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Taschenbuch. Etat : Neu. Study of Ambulatory ECG and identification of motion artifact | Deepak Vala (u. a.) | Taschenbuch | 164 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659859519 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter:… preigu.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, a brief introduction to the ambulation study of the ECG in a wearable device(WD) is provided.Among many methods can be used for AECG signal analysis and identification of motion artifacts like detection of QRS complex usin…g a modified derivative based approach.We have also derived modified QRS detection method to identify R peak in ECG signal successfully. We have presented an offline analysis of the RPCA-based algorithm for detecting the motion artifact's episodes appearing in an ECG signal. In the process, we have verified that the RPCA error magnitude is significantly greater for the noisy episodes as compared to the clean ECG signal portions. We used 25 data-sets from Physionet website and also used recorded AECG of five person of different physical activity for AECG analysis. We used wavelet for AECG signal denoising. And then finally ICA, technique used for removal of motion artifacts of synthesized ECG data of MIT-BIH and of AECG signals. 164 pp. Englisch.
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Vendeur : moluna, Greven, Allemagnemoluna
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EUR 58,12
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Vala DeepakDr. D L Vala:B.E.(Electronics and Communication)M.E.(E)(Microprocessor Systems and Applications)Ph.D.(Electronics and Communication)In this book, a brief introduction to the ambulation study of t…he ECG in a wearable de.
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagnebuchversandmimpf2000
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book, a brief introduction to the ambulation study of the ECG in a wearable device(WD) is provided.Among many methods can be used for AECG signal analysis and identification of motion artifacts like detection of QRS complex using a…modified derivative based approach.We have also derived modified QRS detection method to identify R peak in ECG signal successfully. We have presented an offline analysis of the RPCA-based algorithm for detecting the motion artifact's episodes appearing in an ECG signal. In the process, we have verified that the RPCA error magnitude is significantly greater for the noisy episodes as compared to the clean ECG signal portions. We used 25 data-sets from Physionet website and also used recorded AECG of five person of different physical activity for AECG analysis. We used wavelet for AECG signal denoising. And then finally ICA, technique used for removal of motion artifacts of synthesized ECG data of MIT-BIH and of AECG signals.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch.
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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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EUR 71,90
EUR 61,31 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 1 disponible(s)
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, a brief introduction to the ambulation study of the ECG in a wearable device(WD) is provided.Among many methods can be used for AECG signal analysis and identification of motion artifacts like detection of QRS complex using a m…odified derivative based approach.We have also derived modified QRS detection method to identify R peak in ECG signal successfully. We have presented an offline analysis of the RPCA-based algorithm for detecting the motion artifact's episodes appearing in an ECG signal. In the process, we have verified that the RPCA error magnitude is significantly greater for the noisy episodes as compared to the clean ECG signal portions. We used 25 data-sets from Physionet website and also used recorded AECG of five person of different physical activity for AECG analysis. We used wavelet for AECG signal denoising. And then finally ICA, technique used for removal of motion artifacts of synthesized ECG data of MIT-BIH and of AECG signals.
