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100%: Hani Saleh; Nourhan Bayasi; Baker Mohammad; Mohammed Ismail: Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias (ISBN: 9783319876863) 2018, Springer Shop, in Deutsch.Nur diese Ausgabe anzeigen…
90%: Hani Saleh, Nourhan Bayasi, Baker Mohammad, Mohammed Ismail: Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias (ISBN: 9783319639734) 2017, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
82%: Saleh, Hani; Bayasi, Nourhan; Mohammad, Baker; Ismail, Mohammed: Self-powered Soc Platform For Analysis And Prediction Of Cardiac Arrhythmias (ISBN: 9783319639727) in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias
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Bester Preis: Fr. 6.68 (€ 6.83)¹ (vom 10.03.2019)1
Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias
~EN HC NWISBN: 9783319639727 bzw. 3319639722, vermutlich in Englisch, Springer Shop, gebundenes Buch, neu.
Lieferung aus: Italien, Lagernd, zzgl. Versandkosten.
This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs. Hard cover.
This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs. Hard cover.
2
Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias
DE HC NWISBN: 9783319639727 bzw. 3319639722, in Deutsch, Springer, Berlin; Springer International Publishing, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkostenfrei innerhalb von Deutschland.
This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs. This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs. Lieferzeit 1-2 Werktage.
This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs. This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs. Lieferzeit 1-2 Werktage.
3
Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias
~EN NW EB DLISBN: 9783319639734 bzw. 3319639730, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
Lieferung aus: Schweiz, Lagernd, zzgl. Versandkosten.
This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs. eBook.
This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs. eBook.
4
Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias
DE HC NWISBN: 9783319639727 bzw. 3319639722, in Deutsch, Springer-Verlag Gmbh, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias: This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs. Englisch, Buch.
Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias: This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs. Englisch, Buch.
5
Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias (2018)
DE HC NW RPISBN: 9783319876863 bzw. 3319876864, in Deutsch, gebundenes Buch, neu, Nachdruck.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
Erscheinungsdatum: 24.08.2018, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias, Auflage: Softcover reprint of the original 1st ed. 2018, Autor: Bayasi, Nourhan // Ismail, Mohammed // Mohammad, Baker // Saleh, Hani, Verlag: Springer International Publishing, Sprache: Englisch, Schlagworte: Biomedizinische Technik // Rechnerarchitektur und Logik-Entwurf, Rubrik: Elektronik // Elektrotechnik, Nachrichtentechnik, Seiten: 92, Informationen: Previously published in hardcover, Gewicht: 153 gr, Verkäufer: averdo.
Erscheinungsdatum: 24.08.2018, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias, Auflage: Softcover reprint of the original 1st ed. 2018, Autor: Bayasi, Nourhan // Ismail, Mohammed // Mohammad, Baker // Saleh, Hani, Verlag: Springer International Publishing, Sprache: Englisch, Schlagworte: Biomedizinische Technik // Rechnerarchitektur und Logik-Entwurf, Rubrik: Elektronik // Elektrotechnik, Nachrichtentechnik, Seiten: 92, Informationen: Previously published in hardcover, Gewicht: 153 gr, Verkäufer: averdo.
6
Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias Hani Saleh Author
~EN HC NWISBN: 9783319639727 bzw. 3319639722, vermutlich in Englisch, Springer International Publishing, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs.
This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs.
7
Self-powered Soc Platform For Analysis And Prediction Of Cardiac Arrhythmias
~EN NWISBN: 9783319639727 bzw. 3319639722, vermutlich in Englisch, neu.
Lieferung aus: Kanada, Lagernd, zzgl. Versandkosten.
This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs.
This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs.
8
Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias (2017)
EN NW EB DLISBN: 9783319639734 bzw. 3319639730, in Englisch, Springer, Springer, Springer, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigte Staaten von Amerika, in-stock.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
9
Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias
~EN PB NWISBN: 9783319639734 bzw. 3319639730, vermutlich in Englisch, Springer-Verlag GmbH, Taschenbuch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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