Cargando…

ECG Classification Based on Wasserstein Scalar 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...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sun, Fupeng, Ni, Yin, Luo, Yihao, Sun, Huafei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601874/ https://www.ncbi.nlm.nih.gov/pubmed/37420470 http://dx.doi.org/10.3390/e24101450

Ejemplares similares

Geometric Characteristics of the Wasserstein Metric on SPD(n) and Its Applications on Data Processing
por: Luo, Yihao, et al.
Publicado: (2021)

Volume growth and positive scalar curvature
por: Gong, G, et al.
Publicado: (1999)

Joint Wasserstein GAN contribution
por: Glombitza, Jonas, et al.
Publicado: (2018)

An invitation to statistics in Wasserstein space
por: Panaretos, Victor M, et al.
Publicado: (2020)

Measurement of the scalar curvature of high-power lasers
por: Toma, Antonela, et al.
Publicado: (2022)

Prescribed scalar curvature with minimal boundary mean curvature on S sub + sup 4
por: Chitoui, H, et al.
Publicado: (2003)

Wasserstein Distance-Based Deep Leakage from Gradients
por: Wang, Zifan, et al.
Publicado: (2023)

The Bayesian Inference of Pareto Models Based on Information Geometry
por: Sun, Fupeng, et al.
Publicado: (2020)

Frame-Covariant Formulation of Inflation in Scalar-Curvature Theories
por: Burns, Daniel, et al.
Publicado: (2016)

The scalar curvature problem on the four dimensional half sphere
por: Ben-Ayed, M, et al.
Publicado: (2003)

Proxying credit curves via Wasserstein distances
por: Michielon, Matteo, et al.
Publicado: (2022)

Wasserstein Uncertainty Estimation for Adversarial Domain Matching
por: Wang, Rui, et al.
Publicado: (2022)

Correcting nuisance variation using Wasserstein distance
por: Tabak, Gil, et al.
Publicado: (2020)

Scalable Gromov–Wasserstein Based Comparison of Biological Time Series
por: Kravtsova, Natalia, et al.
Publicado: (2023)

Hypersurfaces with constant scalar curvature in a hyperbolic space form
por: Ximin, L
Publicado: (2001)

Calculating the Wasserstein Metric-Based Boltzmann Entropy of a Landscape Mosaic
por: Zhang, Hong, et al.
Publicado: (2020)

Sensitivity analysis of Wasserstein distributionally robust optimization problems
por: Bartl, Daniel, et al.
Publicado: (2021)

Distributionally robust learning-to-rank under the Wasserstein metric
por: Sotudian, Shahabeddin, et al.
Publicado: (2023)

D’Atri spaces and the total scalar curvature of hemispheres, tubes and cylinders
por: Csikós, Balázs, et al.
Publicado: (2022)

A Discrete Curvature Estimation Based Low-Distortion Adaptive Savitzky–Golay Filter for ECG Denoising
por: Huang, Hui, et al.
Publicado: (2019)

WDA: An Improved Wasserstein Distance-Based Transfer Learning Fault Diagnosis Method
por: Zhu, Zhiyu, et al.
Publicado: (2021)

Metrics of positive scalar curvature and generalised morse functions, pt.I
por: Walsh, Mark
Publicado: (2011)

Dark Energy, scalar-curvature couplings and a critical acceleration scale
por: Navarro, Ignacio
Publicado: (2007)

Probability Forecast Combination via Entropy Regularized Wasserstein Distance
por: Cumings-Menon, Ryan, et al.
Publicado: (2020)

Identifying Imaging Markers for Predicting Cognitive Assessments Using Wasserstein Distances Based Matrix Regression
por: Yan, Jiexi, et al.
Publicado: (2019)

Differential forms on wasserstein space and infinite-dimensional Hamiltonian systems
por: Gangbo, Wilfrid, et al.
Publicado: (2011)

Conditional Wasserstein Generative Adversarial Networks for Fast Detector Simulation
por: Blue, John
Publicado: (2021)

Distributionally robust mean-absolute deviation portfolio optimization using wasserstein metric
por: Chen, Dali, et al.
Publicado: (2022)

Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network
por: Friedjungová, Magda, et al.
Publicado: (2020)

Classification and quantification of leaf curvature
por: Liu, Zhongyuan, et al.
Publicado: (2010)

Prediction and analysis of multiple protein lysine modified sites based on conditional wasserstein generative adversarial networks
por: Yang, Yingxi, et al.
Publicado: (2021)

A Geometric Formulation of Higgs Effective Field Theory: Measuring the Curvature of Scalar Field Space
por: Alonso, Rodrigo, et al.
Publicado: (2015)

Analysis of dynamically stable patterns in a maze-like corridor using the Wasserstein metric
por: Ishiwata, Ryosuke, et al.
Publicado: (2018)

Wasserstein Distance Learns Domain Invariant Feature Representations for Drift Compensation of E-Nose
por: Tao, Yang, et al.
Publicado: (2019)

Unified Topological Inference for Brain Networks in Temporal Lobe Epilepsy Using the Wasserstein Distance
por: Chung, Moo K., et al.
Publicado: (2023)

A local singularity analysis for the Ricci flow and its applications to Ricci flows with bounded scalar curvature
por: Buzano, Reto, et al.
Publicado: (2022)

Pesticide detection combining the Wasserstein generative adversarial network and the residual neural network based on terahertz spectroscopy
por: Yang, Ruizhao, et al.
Publicado: (2022)

Parameter estimation from aggregate observations: a Wasserstein distance-based sequential Monte Carlo sampler
por: Cheng, Chen, et al.
Publicado: (2023)

Transfer learning for ECG classification
por: Weimann, Kuba, et al.
Publicado: (2021)

Wasserstein barycenter regression for estimating the joint dynamics of renewable and fossil fuel energy indices
por: De Giuli, Maria Elena, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_nhm4mgcvflvk8hgmac1h7if0tg