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Reports on Arrhythmia Findings from Zhuhai College of Science and Technology Provide New Insights (A High-Performance Anti-Noise Algorithm for Arrhythmia Recognition).

Source :
Cardiovascular Week; 2024, p688-688, 1p
Publication Year :
2024

Abstract

A new report from Zhuhai College of Science and Technology in China presents research on arrhythmia recognition. The study addresses the increasing incidence of cardiac arrhythmias due to lifestyle changes and an aging population. The researchers propose a high-performance anti-noise algorithm called COBLS, which combines blind source separation, principal component analysis, and a broad learning system. The algorithm was evaluated using arrhythmia databases and demonstrated exceptional performance in terms of accuracy, precision, sensitivity, and F1-score. This research provides valuable insights into improving automated diagnosis of cardiac arrhythmias. [Extracted from the article]

Details

Language :
English
ISSN :
15436853
Database :
Complementary Index
Journal :
Cardiovascular Week
Publication Type :
Periodical
Accession number :
178634773