A Machine Learning Framework for Pulse Detection During Out-of-Hospital Cardiac Arrest-Reference-Cited by-同舟云学术

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A Machine Learning Framework for Pulse Detection During Out-of-Hospital Cardiac Arrest

Published:2020 Issue: Volume:8 Page:161031-161041
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alonso Erik^ORCID,Irusta Unai^ORCID,Aramendi Elisabete,Daya Mohamud R.^ORCID

Funder

Spanish Ministry of Science, Innovation and Universities, jointly with the Fondo Europeo de Desarrollo Regional

Basque Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09184797.pdf?arnumber=9184797

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Extracting physiologic and clinical data from defibrillators for research purposes to improve treatment for patients in cardiac arrest;Resuscitation Plus;2024-06

2. Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Scoping Review;Prehospital and Disaster Medicine;2024-05-17

3. Cardiac output estimation using ballistocardiography: a feasibility study in healthy subjects;Scientific Reports;2024-01-19

4. Monitoring chest compressions using finger photoplethysmography in out-of-hospital cardiac arrest;Biomedical Signal Processing and Control;2023-09

5. Artificial intelligence and machine learning in prehospital emergency care: A scoping review;iScience;2023-08

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