9th European Medical and Biological Engineering Conference -

9th European Medical and Biological Engineering Conference

Proceedings of EMBEC 2024, June 9-13, 2024, Portorož, Slovenia, Volume 2
Buch | Softcover
XVII, 383 Seiten
2024 | 2024
Springer International Publishing (Verlag)
978-3-031-61627-3 (ISBN)
235,39 inkl. MwSt

This book informs on new trends, challenges, and solutions, in the multidisciplinary field of biomedical engineering. It covers traditional topics in biomechanics and biomedical signal processing, as well as recent trends relating to the applications of artificial intelligence and IoT in healthcare, wearable devices for patient monitoring, monitoring of medical devices, machine learning applications in medical data, among others. Gathering the second volume of the proceedings of the 9th European Medical and Biological Engineering Conference (EMBEC 2024), held on June 9-13, 2024, in Portoroz, Slovenia, this book bridges fundamental and clinically-oriented research, emphasizing the role of translational research in biomedical engineering. It aims at inspiring and fostering communication and collaboration between engineers, physicists, biologists, physicians and other professionals dealing with cutting-edge themes in and advanced technologies serving the broad field of biology and healthcare.

Enhancing Cross-Domain Adaptability of Existing Computer-Aided Endoscopic Lesion Detection Using Plug-and-Play Tracker.- Entropy-Based Analysis of DNA Sequences and IGHV Mutational Status in Chronic Lymphocytic Leukemia: Predicting Patient Survival.- Establishment of Femoral Bone Defect Model in Sprague-Dawley Rat for Engineered Scaffold Implantation: A Pilot Study.- Estimation of middle ear characteristics by an innovative Pressure-Less Acoustic Immittance (PLAI(TM)) device.

Erscheinungsdatum
Reihe/Serie IFMBE Proceedings
Zusatzinfo XVII, 383 p. 139 illus., 122 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Medizin / Pharmazie Physiotherapie / Ergotherapie Orthopädie
Technik
Schlagworte Artificial Intelligence in Healthcare • Automatic Classification of Diseases • CFD applications in Medicine • Data Generation in Medicine • EEG Signal Classification • Predictive Models in Healthcare • Telerehabilitation and Patient Monitoring • Texture Feature Analysis • Wearable Medical Devices
ISBN-10 3-031-61627-8 / 3031616278
ISBN-13 978-3-031-61627-3 / 9783031616273
Zustand Neuware
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