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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]
- Subjects :
- ALGORITHMS
BLIND source separation
INDEPENDENT component analysis
Subjects
Details
- Language :
- English
- ISSN :
- 15436853
- Database :
- Complementary Index
- Journal :
- Cardiovascular Week
- Publication Type :
- Periodical
- Accession number :
- 178634773