Accelerometry-Based Classification of Circulatory States During Out-of-Hospital Cardiac Arrest-Reference-Cited by-同舟云学术

Accelerometry-Based Classification of Circulatory States During Out-of-Hospital Cardiac Arrest

Published:2023-08 Issue:8 Volume:70 Page:2310-2317
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Kern Wolfgang J.¹^ORCID,Orlob Simon²^ORCID,Bohn Andreas³,Toller Wolfgang⁴,Wnent Jan⁵,Gräsner Jan-Thorsten⁵^ORCID,Holler Martin⁶^ORCID

Affiliation:

1. Institute of Mathematics and Scientific Computing, University of Graz, Graz, Austria

2. Department of Anesthesiology and Intensive Care Medicine, Division of Anaesthesiology and Intensive Care Medicine 2, Medical University of Graz, Austria

3. City of Münster Fire Department, Germany

4. Department of Anesthesiology and Intensive Care Medicine, Division of Anesthesiology for Cardiovascular and Thoracic Surgery and Intensive Care Medicine, Medical University of Graz, Austria

5. Institute for Emergency Medicine, University Hospital Schleswig Holstein, Germany

6. Institute of Mathematics and Scientific Computing, University of Graz, Austria

Funder

Karl-Franzens-Universität Graz

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/10185979/10038473.pdf?arnumber=10038473

Reference33 articles.

1. Circulation assessment by automated external defibrillators during cardiopulmonary resuscitation

2. Circulation detection using the electrocardiogram and the thoracic impedance acquired by defibrillation pads

3. Multimodal Algorithms for the Classification of Circulation States During Out-of-Hospital Cardiac Arrest

4. Capnography: A support tool for the detection of return of spontaneous circulation in out-of-hospital cardiac arrest

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