Nonlinear analysis of heart rate variability in the recognition of congestive heart failure

被引：0
|
作者：
Kholmatov, D. U. [1 ]
Manilo, L. A. [1 ]
Nemirko, A. P. [1 ]
机构：
[1] V I Ulyanov Lenin St Petersburg State Electrotech, Biotech Syst Dept, St Petersburg, Russia
来源：
BIOMEDICAL ENGINEERING | 2024年 / 58卷 / 04期
基金：
俄罗斯科学基金会;
关键词：
DIAGNOSIS; GUIDELINES;
D O I：
10.1007/s10527-024-10410-2
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
We report here studies of methods for recognizing early forms of congestive heart failure NYHA functional classes I-II based on application of nonlinear, statistical, and geometric parameters estimated using the Poincar & eacute; mapping to rhythm recordings. The studies showed that a linear classifier for identifying this pathology could be constructed and threshold decision rules were obtained. Experiments using real rhythm records selected from the PhysioNet web resource compared recognition quality obtained using a number of indicators.
引用
收藏
页码：253 / 257
页数：5
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