03640nam a22005535i 4500 978-3-031-61625-9 DE-He213 20251030112251.0 cr nn 008mamaa 240531s2024 sz | s |||| 0|eng d 9783031616259 978-3-031-61625-9 10.1007/978-3-031-61625-9 doi R856-857 MQW bicssc TEC059000 bisacsh MQW thema 9th European Medical and Biological Engineering Conference [electronic resource] : Proceedings of EMBEC 2024, June 9-13, 2024, Portorož, Slovenia, Volume 1 / edited by Tomaž Jarm, Rok Šmerc, Samo Mahnič-Kalamiza. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XVII, 387 p. 146 illus., 134 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda IFMBE Proceedings, 1433-9277 ; 112 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. 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. Biomedical engineering. Artificial intelligence. 58441 Signal processing. Biomedical Engineering and Bioengineering. Artificial Intelligence. 58441 Signal, Speech and Image Processing. Jarm, Tomaž. editor. edt http://id.loc.gov/vocabulary/relators/edt 78074 Šmerc, Rok. editor. edt http://id.loc.gov/vocabulary/relators/edt 78075 Mahnič-Kalamiza, Samo. editor. edt http://id.loc.gov/vocabulary/relators/edt 78076 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031616242 Printed edition: 9783031616266 IFMBE Proceedings, 1433-9277 ; 112 65713 https://doi.org/10.1007/978-3-031-61625-9 ZDB-2-ENG ZDB-2-SXE 60423 60423