A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases
Sample Entropy (SampEn) is a popular method for assessing the regularity of physiological signals. Prior to the entropy calculation, certain common parameters need to be initialized: Embedding dimension <i>m</i>, tolerance threshold <i>r</i> and time series length <i>N&...
Main Authors: | Jinle Xiong, Xueyu Liang, Tingting Zhu, Lina Zhao, Jianqing Li, Chengyu Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-08-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/21/9/830 |
Similar Items
-
Improving Accuracy of Heart Failure Detection Using Data Refinement
by: Jinle Xiong, et al.
Published: (2020-05-01) -
Suppressing the Influence of Ectopic Beats by Applying a Physical Threshold-Based Sample Entropy
by: Lina Zhao, et al.
Published: (2020-04-01) -
Determination of Sample Entropy and Fuzzy Measure Entropy Parameters for Distinguishing Congestive Heart Failure from Normal Sinus Rhythm Subjects
by: Lina Zhao, et al.
Published: (2015-09-01) -
Multiscale Entropy Analysis of the Differential RR Interval Time Series Signal and Its Application in Detecting Congestive Heart Failure
by: Chengyu Liu, et al.
Published: (2017-05-01) -
Influence of Ectopic Beats on Heart Rate Variability Analysis
by: Lina Zhao, et al.
Published: (2021-05-01)