Paper Info
Title
A new heart rate variability analysis method by means of quantifying the variation of nonlinear dynamic patterns.
Abstract
A new heart rate variability (HRV) analysis method, quantifying the variation of nonlinear dynamic pattern (VNDP) in heart rate series, is proposed and validated against the age stratified Fantasia database. The method is based on three processes: 1) a recurrence quantification analysis (RQA) to quantify the dynamic patterns, 2) the use of mutual information (MI) and the entropy (EN) to characteri...
Year
DOI
Venue
2007
10.1109/TBME.2007.893495
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Heart rate variability,Pattern analysis,Heart rate,Databases,Information analysis,Mutual information,Entropy,Linear discriminant analysis,Nervous system,Dynamic range
Nonlinear system,Computer science,Artificial intelligence,Recurrence quantification analysis,Autonomous nervous system,Computer vision,Dynamic range,Pattern recognition,Heart rate variability,Mutual information,Linear discriminant analysis,Statistics,Probability density function
Journal
Volume
Issue
ISSN
54
9
0018-9294
Citations 
PageRank 
References 
6
0.75
7
Authors
3
Name
Order
Citations
PageRank
Hang Ding1132.89
Stuart Crozier213014.02
Stephen James Wilson3295.52