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9th European Medical and Biological Engineering Conference = proceedings of EMBEC 2024, June 9-13, 2024, Portorož, Slovenia.. Volume 1 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	9th European Medical and Biological Engineering Conference/ edited by Tomaž Jarm, Rok Šmerc, Samo Mahnič-Kalamiza.
Reminder of title:	proceedings of EMBEC 2024, June 9-13, 2024, Portorož, Slovenia.
remainder title:	EMBEC 2024
other author:	Jarm, Tomaž.
團體作者:	European Medical & Biological Engineering Conference
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xvii, 387 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Biomedical engineering - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-61625-9
ISBN:	9783031616259

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 Conferenceproceedings of EMBEC 2024, June 9-13, 2024, Portorož, Slovenia.Volume 1 /[electronic resource] :EMBEC 2024edited by Tomaž Jarm, Rok Šmerc, Samo Mahnič-Kalamiza. - Cham :Springer Nature Switzerland :2024. - xvii, 387 p. :ill. (some col.), digital ;24 cm. - IFMBE proceedings,1121433-9277 ;. - 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.

ISBN: 9783031616259

Standard No.: 10.1007/978-3-031-61625-9doiSubjects--Topical Terms:

700709
Biomedical engineering
--Congresses.

LC Class. No.: R856.A2

Dewey Class. No.: 610.28

9th European Medical and Biological Engineering Conference = proceedings of EMBEC 2024, June 9-13, 2024, Portorož, Slovenia.. Volume 1 /
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