9th European Medical and Biological Engineering Conference

Proceedings of EMBEC 2024, June 9-13, 2024, Portoro¿, Slovenia, Volume 1
2024
ISBN: 978-3-031-61624-2
Verlag: Springer Nature Switzerland

Buch, Englisch, Band 112, 387 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 616 g

Reihe: IFMBE Proceedings

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 machine learning methods in medicine and biology, and to bioengineering education. 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 Portorož, 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.

Zielgruppe

Research

Autoren/Hrsg.

Jarm, Toma¿

Mahni¿-Kalamiza, Samo

Šmerc, Rok

Mahnic-Kalamiza, Samo

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe

Inhaltsverzeichnis

A Machine Learning Approach for Predicting Electrophysiological Responses in Genetically Modified HEK Cells.- A Machine Learning Framework for Gait and EMG Analysis for Post-Stroke Motor Dysfunctions Assessment.- A Novel University Course on Medical Devices Design and Certification at the University of Siena.- A complex spinal surgery lifting system for prone positioning.- Accurate and interpretable deep learning model for sleep staging in children with sleep apnea from pulse oximetry.