A universal, high‐performance <scp>ECG</scp> signal processing engine to reduce clinical burden-Reference-Cited by-同舟云学术

A universal, high‐performance ECG signal processing engine to reduce clinical burden

Published:2022-07-29 Issue:5 Volume:27 Page:
ISSN:1082-720X
Container-title:Annals of Noninvasive Electrocardiology
language:en
Short-container-title:Noninvasive Electrocardiol

Author:

Gibbs Austin¹^ORCID,Fitzpatrick Matthew²^ORCID,Lilburn Mark²,Easlea Holly²,Francey Jonathan²,Funston Rebecca²,Diven Jordan²^ORCID,Murray Stacey²^ORCID,Mitchell Oliver G. J.¹,Condon Adrian²,Mitchell Andrew R. J.¹^ORCID,Sanchez Benjamin³,Steinhaus David⁴

Affiliation:

1. The Allan Lab Jersey General Hospital Saint Helier Jersey

2. B‐Secur Ltd Belfast UK

3. Department of Electrical & Computer Engineering University of Utah Salt Lake City Utah USA

4. Kansas City Missouri USA

Publisher

Wiley

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/anec.12993

Reference21 articles.

1. Remote and wearable ECG devices with diagnostic abilities in adults: A state-of-the-science scoping review

2. QRS Complex Detection Using Novel Deep Learning Neural Networks

3. CENELEC ‐ EN 60601‐2‐27. (2014).Medical electrical equipment ‐ part 2–27: Particular requirements for the basic safety and essential performance of electrocardiographic monitoring equipment.

4. 12-lead ECG in the athlete: physiological versus pathological abnormalities

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