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Ajouter au panierTaschenbuch. Etat : Neu. Feature Engineering and Computational Intelligence in ECG Monitoring | Chengyu Liu (u. a.) | Taschenbuch | x | Englisch | 2021 | Springer | EAN 9789811538261 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these methods can be efficiently used to address the emerging challenges of dynamic, continuous & long-term individual ECG monitoring and real-time feedback. By doing so, it provides a 'snapshot' of the current research at the interface between physiological signal analysis and machine learning. It also helps clarify a number of dilemmas and encourages further investigations in this field, to explore rational applications of feature engineering and computational intelligence in ECG monitoring. The book is intended for researchers and graduate students in the field of biomedical engineering, ECG signal processing, and intelligent healthcare.
Langue: anglais
Edité par Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10 : 9811538239 ISBN 13 : 9789811538230
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these methods can be efficiently used to address the emerging challenges of dynamic, continuous & long-term individual ECG monitoring and real-time feedback. By doing so, it provides a 'snapshot' of the current research at the interface between physiological signal analysis and machine learning. It also helps clarify a number of dilemmas and encourages further investigations in this field, to explore rational applications of feature engineering and computational intelligence in ECG monitoring. The book is intended for researchers and graduate students in the field of biomedical engineering, ECG signal processing, and intelligent healthcare.
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Ajouter au panierPaperback. Etat : Brand New. 278 pages. 9.25x6.10x0.66 inches. In Stock.
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Ajouter au panierHardcover. Etat : Brand New. 278 pages. 9.25x6.10x9.21 inches. In Stock.
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Springer Nature Singapore Jun 2021, 2021
ISBN 10 : 9811538263 ISBN 13 : 9789811538261
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 160,49
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these methods can be efficiently used to address the emerging challenges of dynamic, continuous & long-term individual ECG monitoring and real-time feedback. By doing so, it provides a 'snapshot' of the current research at the interface between physiological signal analysis and machine learning. It also helps clarify a number of dilemmas and encourages further investigations in this field, to explore rational applications of feature engineering and computational intelligence in ECG monitoring. The book is intended for researchers and graduate students in the field of biomedical engineering, ECG signal processing, and intelligent healthcare. 280 pp. Englisch.
Langue: anglais
Edité par Springer Nature Singapore Jun 2020, 2020
ISBN 10 : 9811538239 ISBN 13 : 9789811538230
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 160,49
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these methods can be efficiently used to address the emerging challenges of dynamic, continuous & long-term individual ECG monitoring and real-time feedback. By doing so, it provides a 'snapshot' of the current research at the interface between physiological signal analysis and machine learning. It also helps clarify a number of dilemmas and encourages further investigations in this field, to explore rational applications of feature engineering and computational intelligence in ECG monitoring. The book is intended for researchers and graduate students in the field of biomedical engineering, ECG signal processing, and intelligent healthcare. 280 pp. Englisch.
Langue: anglais
Edité par Springer Nature Singapore, 2021
ISBN 10 : 9811538263 ISBN 13 : 9789811538261
Vendeur : moluna, Greven, Allemagne
EUR 136,16
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes a wealth of research on feature engineering and computational intelligence solutions for ECG monitoringFurthers our understanding of the interface between physiological signal analysis and machine learningInspires further research .
Langue: anglais
Edité par Springer Nature Singapore, 2020
ISBN 10 : 9811538239 ISBN 13 : 9789811538230
Vendeur : moluna, Greven, Allemagne
EUR 136,16
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Ajouter au panierGebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes a wealth of research on feature engineering and computational intelligence solutions for ECG monitoringFurthers our understanding of the interface between physiological signal analysis and machine learning.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 218,47
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Ajouter au panierEtat : New. Print on Demand.
Langue: anglais
Edité par Springer, Springer Jun 2021, 2021
ISBN 10 : 9811538263 ISBN 13 : 9789811538261
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these methods can be efficiently used to address the emerging challenges of dynamic, continuous & long-term individual ECG monitoring and real-time feedback. By doing so, it provides a ¿snapshot¿ of the current research at the interface between physiological signal analysis and machine learning. It also helps clarify a number of dilemmas and encourages further investigations in this field, to explore rational applications of feature engineering and computational intelligence in ECG monitoring. The book is intended for researchers and graduate students in the field of biomedical engineering, ECG signal processing, and intelligent healthcare.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 280 pp. Englisch.
Langue: anglais
Edité par Springer, Springer Jun 2020, 2020
ISBN 10 : 9811538239 ISBN 13 : 9789811538230
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 160,49
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these methods can be efficiently used to address the emerging challenges of dynamic, continuous & long-term individual ECG monitoring and real-time feedback. By doing so, it provides a ¿snapshot¿ of the current research at the interface between physiological signal analysis and machine learning. It also helps clarify a number of dilemmas and encourages further investigations in this field, to explore rational applications of feature engineering and computational intelligence in ECG monitoring. The book is intended for researchers and graduate students in the field of biomedical engineering, ECG signal processing, and intelligent healthcare.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 280 pp. Englisch.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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