Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning-Reference-Cited by-同舟云学术

Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning

Published:2023-10-15 Issue: Volume: Page:
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Container-title:2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
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Author:

Braeunig Johanna¹,Mejdani Desar¹,Krauss Daniel²,Griesshammer Stefan³,Richer Robert²,Schuessler Christian¹,Yip Julia³,Steigleder Tobias³,Ostgathe Christoph³,Eskofier Bjoern M.²,Vossiek Martin¹

Affiliation:

1. Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU),Institute of Microwaves and Photonics,Department Electrical Engineering,Erlangen,Germany,91058

2. Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany,91052

3. Universitätsklinikum Erlangen,Department of Palliative Medicine,Erlangen,Germany,91054

Funder

Deutsche Forschungsgemeinschaft

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10313339/10313352/10313506.pdf?arnumber=10313506

Reference16 articles.

1. Abstracts from the 17th World Congress of the EAPC 2021

2. A contactless system for continuous vital sign monitoring in palliative and intensive care

3. Signal processing for TDM MIMO FMCW millimeter-wave radar sensors;li;IEEE Access,2021

4. Patient activity recognition using radar sensors and machine learning

5. A Survey of Deep Learning-Based Human Activity Recognition in Radar;li;Remote Sensing,2019

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