ECG Classification Based on Wasserstein Scalar Curvature

• Published in: Entropy (Basel, Switzerland) Vol. 24; no. 10; p. 1450
• Main Authors: Sun, Fupeng, Ni, Yin, Luo, Yihao, Sun, Huafei
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.10.2022; MDPI
• Subjects: Algorithms; Cardiovascular disease; Classification; Curvature; Data analysis; Diagnosis; Dynamical systems; ECG classification; Eigenvalues; Electrocardiogram; Electrocardiography; Fourier transforms; Heart; Heart diseases; Histograms; local statistics; Mathematical analysis; Methods; Neighborhoods; Normal distribution; positive definite symmetric matrix manifold; Random variables; Statistical analysis; Statistics; Wasserstein metric; Wavelet transforms; local statistics; positive definite symmetric matrix manifold; ECG classification; Wasserstein metric; curvature

Electrocardiograms (ECG) analysis is one of the most important ways to diagnose heart disease. This paper proposes an efficient ECG classification method based on Wasserstein scalar curvature to comprehend the connection between heart disease and the mathematical characteristics of ECG. The newly pr...