This book introduces a physiologically driven approach to detect sleep related breathing disorder events as well as different sleep stages by evaluating an ECG signal. The introductory ch… Mehr…
This book introduces a physiologically driven approach to detect sleep related breathing disorder events as well as different sleep stages by evaluating an ECG signal. The introductory chapters provide medical background knowledge concerning this sleep induced breathing failure and the ECG. On this basis, the following chapter discloses the connection between features extracted from the ECG and the occurrence of sleep related breathing disorder events or sleep stages. The features are derived from the heart rate and the morphological side effects of cardiac load fluctuations. In the subsequent chapters, the extracted features are evaluated by applying pattern recognition methods to answer the central question: Is it possible to reduce the diagnostic complexity of this disease by simply recording and processing an ECG signal? The assessment of the presented approach starts by selecting the most suitable classifiers. Subsequently, these classifiers are put to tests in patient dependent and independent scenarios. The achieved classification rates for the sleep related breathing disorder episodes as well as the sleep stages prove that an ECG driven basic diagnosis is feasible. Applying Pattern Recognition Methods to ECG Signals to detect Sleep related Breathing Disorder Events and Sleep Stages Computer Science General Sleep apnea, Sleep Stage, pattern recognition, Electrocardiogram, digital signal processing DE,GB,US,ES,IT,FR,MX English Computer Science, Südwestdeutscher Verlag für Hochschulschriften<
[ED: Softcover], [PU: Südwestdeutscher Verlag für Hochschulschriften], This book introduces a physiologically driven approach to detect sleep related breathing disorder events as well as … Mehr…
[ED: Softcover], [PU: Südwestdeutscher Verlag für Hochschulschriften], This book introduces a physiologically driven approach to detect sleep related breathing disorder events as well as different sleep stages by evaluating an ECG signal. The introductory chapters provide medical background knowledge concerning this sleep induced breathing failure and the ECG. On this basis, the following chapter discloses the connection between features extracted from the ECG and the occurrence of sleep related breathing disorder events or sleep stages. The features are derived from the heart rate and the morphological side effects of cardiac load fluctuations. In the subsequent chapters, the extracted features are evaluated by applying pattern recognition methods to answer the central question: Is it possible to reduce the diagnostic complexity of this disease by simply recording and processing an ECG signal? The assessment of the presented approach starts by selecting the most suitable classifiers. Subsequently, these classifiers are put to tests in patient dependent and independent scenarios. The achieved classification rates for the sleep related breathing disorder episodes as well as the sleep stages prove that an ECG driven basic diagnosis is feasible.
308 S. 220 mm
Versandfertig in 6-10 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<
booklooker.de
buecher.de GmbH & Co. KG Versandkosten:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00) Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
[EAN: 9783838124827], Nieuw boek, [SC: 11.94], [PU: S?dwestdeutscher Verlag f?r Hochschulschriften], INFORMATIK EDV SLEEP APNEA STAGE PATTERN RECOGNITION ELECTROCARDIOGRAM DIGITAL SIGNAL PROCESSING, Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Moersdorf Hans-JoachimAfter his electrical engineering studies at the Friedrich-Alexander-University in Erlangen he joined the Fraunhofer Institute for Integrated Circuits. He worked as a researcher in the image processing and medical., Books<
*Sleep related Breathing Disorders and Sleep Stages from ECG Signals* - Applying Pattern Recognition Methods to ECG Signals to detect Sleep related Breathing Disorder Events and Sleep Sta… Mehr…
*Sleep related Breathing Disorders and Sleep Stages from ECG Signals* - Applying Pattern Recognition Methods to ECG Signals to detect Sleep related Breathing Disorder Events and Sleep Stages / Taschenbuch für 89.99 € / Aus dem Bereich: Bücher, English,, International, Englische, Taschenbücher Medien > Bücher nein Taschenbuch Hardcover;Naturwissenschaften, Medizin, Informatik, Technik;Informatik, EDV, Südwestdeutscher Verlag für Hochschulschriften<
Hugendubel.de
Versandkosten:Shipping in 3 days, , Versandkostenfrei nach Hause oder Express-Lieferung in Ihre Buchhandlung., plus verzendkosten. (EUR 7.50) Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
This book introduces a physiologically driven approach to detect sleep related breathing disorder events as well as different sleep stages by evaluating an ECG signal. The introductory ch… Mehr…
This book introduces a physiologically driven approach to detect sleep related breathing disorder events as well as different sleep stages by evaluating an ECG signal. The introductory chapters provide medical background knowledge concerning this sleep induced breathing failure and the ECG. On this basis, the following chapter discloses the connection between features extracted from the ECG and the occurrence of sleep related breathing disorder events or sleep stages. The features are derived from the heart rate and the morphological side effects of cardiac load fluctuations. In the subsequent chapters, the extracted features are evaluated by applying pattern recognition methods to answer the central question: Is it possible to reduce the diagnostic complexity of this disease by simply recording and processing an ECG signal? The assessment of the presented approach starts by selecting the most suitable classifiers. Subsequently, these classifiers are put to tests in patient dependent and independent scenarios. The achieved classification rates for the sleep related breathing disorder episodes as well as the sleep stages prove that an ECG driven basic diagnosis is feasible. Applying Pattern Recognition Methods to ECG Signals to detect Sleep related Breathing Disorder Events and Sleep Stages Computer Science General Sleep apnea, Sleep Stage, pattern recognition, Electrocardiogram, digital signal processing DE,GB,US,ES,IT,FR,MX English Computer Science, Südwestdeutscher Verlag für Hochschulschriften<
[ED: Softcover], [PU: Südwestdeutscher Verlag für Hochschulschriften], This book introduces a physiologically driven approach to detect sleep related breathing disorder events as well as … Mehr…
[ED: Softcover], [PU: Südwestdeutscher Verlag für Hochschulschriften], This book introduces a physiologically driven approach to detect sleep related breathing disorder events as well as different sleep stages by evaluating an ECG signal. The introductory chapters provide medical background knowledge concerning this sleep induced breathing failure and the ECG. On this basis, the following chapter discloses the connection between features extracted from the ECG and the occurrence of sleep related breathing disorder events or sleep stages. The features are derived from the heart rate and the morphological side effects of cardiac load fluctuations. In the subsequent chapters, the extracted features are evaluated by applying pattern recognition methods to answer the central question: Is it possible to reduce the diagnostic complexity of this disease by simply recording and processing an ECG signal? The assessment of the presented approach starts by selecting the most suitable classifiers. Subsequently, these classifiers are put to tests in patient dependent and independent scenarios. The achieved classification rates for the sleep related breathing disorder episodes as well as the sleep stages prove that an ECG driven basic diagnosis is feasible.
308 S. 220 mm
Versandfertig in 6-10 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<
Versandkosten:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00) buecher.de GmbH & Co. KG
[EAN: 9783838124827], Nieuw boek, [SC: 11.94], [PU: S?dwestdeutscher Verlag f?r Hochschulschriften], INFORMATIK EDV SLEEP APNEA STAGE PATTERN RECOGNITION ELECTROCARDIOGRAM DIGITAL SIGNAL PROCESSING, Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Moersdorf Hans-JoachimAfter his electrical engineering studies at the Friedrich-Alexander-University in Erlangen he joined the Fraunhofer Institute for Integrated Circuits. He worked as a researcher in the image processing and medical., Books<
*Sleep related Breathing Disorders and Sleep Stages from ECG Signals* - Applying Pattern Recognition Methods to ECG Signals to detect Sleep related Breathing Disorder Events and Sleep Sta… Mehr…
*Sleep related Breathing Disorders and Sleep Stages from ECG Signals* - Applying Pattern Recognition Methods to ECG Signals to detect Sleep related Breathing Disorder Events and Sleep Stages / Taschenbuch für 89.99 € / Aus dem Bereich: Bücher, English,, International, Englische, Taschenbücher Medien > Bücher nein Taschenbuch Hardcover;Naturwissenschaften, Medizin, Informatik, Technik;Informatik, EDV, Südwestdeutscher Verlag für Hochschulschriften<
Versandkosten:Shipping in 3 days, , Versandkostenfrei nach Hause oder Express-Lieferung in Ihre Buchhandlung., plus verzendkosten. (EUR 7.50)
1Da einige Plattformen keine Versandkonditionen übermitteln und diese vom Lieferland, dem Einkaufspreis, dem Gewicht und der Größe des Artikels, einer möglichen Mitgliedschaft der Plattform, einer direkten Lieferung durch die Plattform oder über einen Drittanbieter (Marketplace), etc. abhängig sein können, ist es möglich, dass die von eurobuch angegebenen Versandkosten nicht mit denen der anbietenden Plattform übereinstimmen.
This book introduces a physiologically driven approach to detect sleep related breathing disorder events as well as different sleep stages by evaluating an ECG signal. The introductory chapters provide medical background knowledge concerning this sleep induced breathing failure and the ECG. On this basis, the following chapter discloses the connection between features extracted from the ECG and the occurrence of sleep related breathing disorder events or sleep stages. The features are derived from the heart rate and the morphological side effects of cardiac load fluctuations. In the subsequent chapters, the extracted features are evaluated by applying pattern recognition methods to answer the central question: Is it possible to reduce the diagnostic complexity of this disease by simply recording and processing an ECG signal? The assessment of the presented approach starts by selecting the most suitable classifiers. Subsequently, these classifiers are put to tests in patient dependent and independent scenarios. The achieved classification rates for the sleep related breathing disorder episodes as well as the sleep stages prove that an ECG driven basic diagnosis is feasible.
Detailangaben zum Buch - Sleep related Breathing Disorders and Sleep Stages from ECG Signals
EAN (ISBN-13): 9783838124827 ISBN (ISBN-10): 3838124820 Gebundene Ausgabe Taschenbuch Erscheinungsjahr: 2012 Herausgeber: Südwestdeutscher Verlag für Hochschulschriften
Buch in der Datenbank seit 2007-05-10T19:46:22+02:00 (Vienna) Detailseite zuletzt geändert am 2023-06-17T21:09:10+02:00 (Vienna) ISBN/EAN: 9783838124827
ISBN - alternative Schreibweisen: 3-8381-2482-0, 978-3-8381-2482-7 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: mörsdorf, hans, joachim Titel des Buches: sleep, pattern recognition, mörsdorf, stages
