2022
DOI: 10.20944/preprints202203.0054.v1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Robust PVC Identification by Fusing Expert System and Deep Learning

Abstract: Premature ventricular contraction (PVC) is one of the common ventricular arrhythmias, which may cause stroke or sudden cardiac death. Automatic long-term electrocardiogram (ECG) analysis algorithms could provide diagnosis suggestion even early warning for physicians, however, they are mutually-exclusive in terms of robustness, generalization and low complexity. In this study, a novel PVC recognition algorithm that combines deep learning-based heartbeat template clusterer and expert system-based heartbeat class… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 32 publications
(30 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?