Denesh Sooriamoorthy, M. B. Malarvili, Aindi Anas, Olivier Meste

Emerging Technologies and Concepts for Cardiovascular Risk Detection (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 104
• Erscheinungstermin: 23. Juni 2025
• Englisch
• ISBN-13: 9781040405994
• Artikelnr.: 74390616

Autorenporträt

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 publications include studies on cardiovascular risk detection, machine learning models for electric vehicle battery state estimation, and wearable biomedical technologies.

M. B. Malarvili is currently Director of Research Management Centre at Perdana University, Kuala Lumpur and was formerly at Universiti Teknologi Malaysia (UTM). She obtained her Bachelor and Master degrees from UTM in 2001 and 2003, respectively, and her PhD from The University of Queensland, Australia, in 2007. Malarvili is actively involved in research related to medical monitoring devices that focuses on detection of neonatal seizure, sudden cardiac death, fetal heart rate monitoring, respiratory illness screening device and many more.

Aindi Anas is a student at Polytech Grenoble specializing in information technology for health.

Olivier Meste is a Professor at the Université Côte d'Azur and a Researcher at the Signals and Systems Laboratory of Sophia Antipolis (I3S). He completed his PhD at the University of Nice-Sophia Antipolis in 1992.

Inhaltsangabe

1. Introduction 2. Cardiovascular System 3. Medical Technology 4.
Diagnosing Cardiovascular Diseases 5. Cardiovascular Disease Detection and
AI Integration 6. Cardiovascular System Models 7. Conclusion and Future
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