9th European Medical and Biological Engineering Conference: Proceedings of EMBEC 2024, June 9-13, 2024, Portorož, Slovenia, Volume 1
Author:   Tomaž Jarm ,  Rok Šmerc ,  Samo Mahnič-Kalamiza
Publisher:   Springer International Publishing AG
Edition:   2024 ed.
Volume:   112
ISBN:  

9783031616242


Pages:   387
Publication Date:   01 June 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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9th European Medical and Biological Engineering Conference: Proceedings of EMBEC 2024, June 9-13, 2024, Portorož, Slovenia, Volume 1


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Overview

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.

Full Product Details

Author:   Tomaž Jarm ,  Rok Šmerc ,  Samo Mahnič-Kalamiza
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2024 ed.
Volume:   112
ISBN:  

9783031616242


ISBN 10:   3031616243
Pages:   387
Publication Date:   01 June 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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