TY - BOOK AU - Jarm,Tomaž AU - Šmerc,Rok AU - Mahnič-Kalamiza,Samo ED - SpringerLink (Online service) TI - 9th European Medical and Biological Engineering Conference: Proceedings of EMBEC 2024, June 9-13, 2024, Portorož, Slovenia, Volume 1 T2 - IFMBE Proceedings, SN - 9783031616259 AV - R856-857 U1 - 610.28 23 PY - 2024/// CY - Cham PB - Springer Nature Switzerland, Imprint: Springer KW - Biomedical engineering KW - Artificial intelligence KW - Signal processing KW - Biomedical Engineering and Bioengineering KW - Artificial Intelligence KW - Signal, Speech and Image Processing N1 - 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 N2 - 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 UR - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-61625-9 ER -