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Añadir al carritoHardcover. Condición: Brand New. 120 pages. 8.50x5.43x8.74 inches. In Stock.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2025
ISBN 10: 1041047681 ISBN 13: 9781041047681
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Añadir al carritoHardcover. Condición: new. Hardcover. This accessible guide to advanced medical technologies and methodologies for monitoring, diagnosing, and predicting cardiovascular diseases addresses sensor technologies and non-invasive monitoring methods and looks at the growing integration of machine learning and AI.The authors guide readers from an introduction to the cardiovascular system and a review of traditional and modern diagnostic methods before explaining recent advances in medical technology, such as wearable smart devices and their sensor types (namely, pressure, photoelectric, and ultrasonic), and how these advances have been applied to cardiovascular disease diagnosis and detection. Key topics include pulse wave analysis, sensor technology for radial blood pressure monitoring, and the integration of artificial intelligence to enhance predictive accuracy. With a focus on continuous monitoring solutions, this book highlights groundbreaking research on non-invasive detection methods and the development of intelligent health systems for real-time patient evaluation. The authors also discuss how the widespread implementation of machine learning and deep learning techniques have influenced the field and propose new methods for enhancing continuous monitoring and risk prediction systems. The information within this book will help to bridge the gap between research and clinical practice.This short guide is a valuable resource primarily for academic readers in the fields of biomedical engineering, physics, computer science, and medical imaging. Clinicians will also benefit from the discussions of applications and future research and clinical trends. This short guide is a valuable resource primarily for academic readers in the fields of biomedical engineering, physics, computer science, and medical imaging. Clinicians will also benefit from the discussions of applications and future research and clinical trends. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Publicado por Taylor & Francis Ltd, London, 2025
ISBN 10: 1041047681 ISBN 13: 9781041047681
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Añadir al carritoHardcover. Condición: new. Hardcover. This accessible guide to advanced medical technologies and methodologies for monitoring, diagnosing, and predicting cardiovascular diseases addresses sensor technologies and non-invasive monitoring methods and looks at the growing integration of machine learning and AI.The authors guide readers from an introduction to the cardiovascular system and a review of traditional and modern diagnostic methods before explaining recent advances in medical technology, such as wearable smart devices and their sensor types (namely, pressure, photoelectric, and ultrasonic), and how these advances have been applied to cardiovascular disease diagnosis and detection. Key topics include pulse wave analysis, sensor technology for radial blood pressure monitoring, and the integration of artificial intelligence to enhance predictive accuracy. With a focus on continuous monitoring solutions, this book highlights groundbreaking research on non-invasive detection methods and the development of intelligent health systems for real-time patient evaluation. The authors also discuss how the widespread implementation of machine learning and deep learning techniques have influenced the field and propose new methods for enhancing continuous monitoring and risk prediction systems. The information within this book will help to bridge the gap between research and clinical practice.This short guide is a valuable resource primarily for academic readers in the fields of biomedical engineering, physics, computer science, and medical imaging. Clinicians will also benefit from the discussions of applications and future research and clinical trends. This short guide is a valuable resource primarily for academic readers in the fields of biomedical engineering, physics, computer science, and medical imaging. Clinicians will also benefit from the discussions of applications and future research and clinical trends. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Denesh Sooriamoorthy is a Senior Lecturer at Asia Pacific University of Technology & Innovation. His research focuses on cardiovascular disease detection, mechatronics, and artificial intelligence applications in healthcare. His notable public.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2025
ISBN 10: 1041047681 ISBN 13: 9781041047681
Librería: AussieBookSeller, Truganina, VIC, Australia
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Añadir al carritoHardcover. Condición: new. Hardcover. This accessible guide to advanced medical technologies and methodologies for monitoring, diagnosing, and predicting cardiovascular diseases addresses sensor technologies and non-invasive monitoring methods and looks at the growing integration of machine learning and AI.The authors guide readers from an introduction to the cardiovascular system and a review of traditional and modern diagnostic methods before explaining recent advances in medical technology, such as wearable smart devices and their sensor types (namely, pressure, photoelectric, and ultrasonic), and how these advances have been applied to cardiovascular disease diagnosis and detection. Key topics include pulse wave analysis, sensor technology for radial blood pressure monitoring, and the integration of artificial intelligence to enhance predictive accuracy. With a focus on continuous monitoring solutions, this book highlights groundbreaking research on non-invasive detection methods and the development of intelligent health systems for real-time patient evaluation. The authors also discuss how the widespread implementation of machine learning and deep learning techniques have influenced the field and propose new methods for enhancing continuous monitoring and risk prediction systems. The information within this book will help to bridge the gap between research and clinical practice.This short guide is a valuable resource primarily for academic readers in the fields of biomedical engineering, physics, computer science, and medical imaging. Clinicians will also benefit from the discussions of applications and future research and clinical trends. This short guide is a valuable resource primarily for academic readers in the fields of biomedical engineering, physics, computer science, and medical imaging. Clinicians will also benefit from the discussions of applications and future research and clinical trends. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 110 pp. Englisch.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This short guide is a valuable resource primarily for academic readers in the fields of biomedical engineering, physics, computer science, and medical imaging. Clinicians will also benefit from the discussions of applications and future research and clinical trends.
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware Books on Demand GmbH, Überseering 33, 22297 Hamburg 110 pp. Englisch.
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoBuch. Condición: Neu. Multi-Agent Systems - From Basic Concepts to Cutting-Edge Technologies | From Basic Concepts to Cutting-Edge Technologies | Buch | Artificial Intelligence, Volume 47 | Englisch | 2026 | IntechOpen | EAN 9781836351481 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.