| 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. |
| corporate name: |
European Medical & Biological Engineering Conference |
| Published: |
Cham :Springer Nature Switzerland : : 2024., |
| Description: |
xvii, 387 p. :ill. (some col.), digital ;24 cm. |
| [NT 15003449]: |
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 |
| Subject: |
Biomedical engineering - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-61625-9 |
| ISBN: |
9783031616259 |