Segmentation, alignment and statistical analysis of biosignals with application to disease classification

DOI10.1080/02664763.2013.785492OpenAlexW2021000049MaRDI QIDQ5129013

Anuj Srivastava, Sebastian Kurtek, Wei Wu, Gary E. Christensen

Publication date: 26 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2013.785492

zbMATH Keywords

functional data analysismyocardial infarctiondisease classificationcyclostationary biosignal segmentation

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

A geometric approach for computing tolerance bounds for elastic functional data ⋮ Bayesian Framework for Simultaneous Registration and Estimation of Noisy, Sparse, and Fragmented Functional Data ⋮ Biomedical Applications of Geometric Functional Data Analysis

Uses Software

• fda (R)
• PhysioToolkit

Cites Work

• Statistical tools to analyze data representing a sample of curves
• Curve alignment by moments
• Functional data analysis.
• Combining Registration and Fitting for Functional Models
• Pairwise curve synchronization for functional data
• Curve Registration
• Self-Modelling Warping Functions
• Functional Convex Averaging and Synchronization for Time-Warped Random Curves
• Unnamed Item