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… mais…
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 … mais…
[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.
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*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… mais…
*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<
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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… mais…
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 … mais…
[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.
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[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<
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*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<
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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.
Dados detalhados do livro - Sleep related Breathing Disorders and Sleep Stages from ECG Signals
EAN (ISBN-13): 9783838124827 ISBN (ISBN-10): 3838124820 Livro de capa dura Livro de bolso Ano de publicação: 2012 Editor/Editora: Südwestdeutscher Verlag für Hochschulschriften
Livro na base de dados desde 2007-05-10T18:46:22+01:00 (Lisbon) Página de detalhes modificada pela última vez em 2023-06-17T20:09:10+01:00 (Lisbon) Número ISBN/EAN: 9783838124827
Número ISBN - Ortografia alternativa: 3-8381-2482-0, 978-3-8381-2482-7 Ortografia alternativa e termos de pesquisa relacionados: Autor do livro: mörsdorf, hans, joachim Título do livro: sleep, pattern recognition, mörsdorf, stages
