9th European Medical and Biological Engineering Conference Proceedings of EMBEC 2024, June 9-13, 2024, Portorož, Slovenia, Volume 1 /
9th European Medical and Biological Engineering Conference Proceedings of EMBEC 2024, June 9-13, 2024, Portorož, Slovenia, Volume 1 / [electronic resource] :
edited by Tomaž Jarm, Rok Šmerc, Samo Mahnič-Kalamiza.
- 1st ed. 2024.
- XVII, 387 p. 146 illus., 134 illus. in color. online resource.
- IFMBE Proceedings, 112 1433-9277 ; .
- IFMBE Proceedings, 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.
9783031616259
Biomedical engineering.
Artificial intelligence.
Signal processing.
Biomedical Engineering and Bioengineering.
Artificial Intelligence.
Signal, Speech and Image Processing.
R856-857
610.28
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.
9783031616259
Biomedical engineering.
Artificial intelligence.
Signal processing.
Biomedical Engineering and Bioengineering.
Artificial Intelligence.
Signal, Speech and Image Processing.
R856-857
610.28
