scholarly journals Multivariable Fuzzy Measure Entropy Analysis for Heart Rate Variability and Heart Sound Amplitude Variability

Entropy ◽  
2016 ◽  
Vol 18 (12) ◽  
pp. 430 ◽  
Author(s):  
Lina Zhao ◽  
Shoushui Wei ◽  
Hong Tang ◽  
Chengyu Liu
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Heart Sound ◽  
Fuzzy Measure ◽  
Entropy Analysis ◽  
Amplitude Variability ◽  
Measure Entropy

Analysis of heart rate variability using fuzzy measure entropy

2013 ◽  
Vol 43 (2) ◽  
pp. 100-108 ◽  
Author(s):  
Chengyu Liu ◽  
Ke Li ◽  
Lina Zhao ◽  
Feng Liu ◽  
Dingchang Zheng ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Fuzzy Measure ◽  
Measure Entropy

scholarly journals Entropy analysis of heart rate variability and its application to recognize major depressive disorder: A pilot study

2019 ◽  
Vol 27 ◽  
pp. 407-424 ◽  
Author(s):  
Sangwon Byun ◽  
Ah Young Kim ◽  
Eun Hye Jang ◽  
Seunghwan Kim ◽  
Kwan Woo Choi ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Major Depressive Disorder ◽  
Pilot Study ◽  
Depressive Disorder ◽  
Entropy Analysis ◽  
Major Depressive

scholarly journals Assessment of Heart Rate Variability during an Endurance Mountain Trail Race by Multi-Scale Entropy Analysis

Entropy ◽  
2017 ◽  
Vol 19 (12) ◽  
pp. 658 ◽  
Author(s):  
Montserrat Vallverdú ◽  
Aroa Ruiz-Muñoz ◽  
Emma Roca ◽  
Pere Caminal ◽  
Ferran Rodríguez ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Entropy Analysis ◽  
Multi Scale

Multiscale entropy analysis of heart rate variability in sinoaortic denervated rats

2015 ◽  
Vol 192 ◽  
pp. 78
Author(s):  
L.E.V. Silva ◽  
J.A. Castania ◽  
H.C. Salgado ◽  
R. Fazan
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Multiscale Entropy ◽  
Entropy Analysis

FETAL HEART RATE VARIABILITY ANALYSIS FROM PHONOCARDIOGRAPHIC RECORDINGS

2011 ◽  
Vol 11 (05) ◽  
pp. 1315-1331 ◽  
Author(s):  
VIJAY S. CHOURASIA ◽  
ANIL KUMAR TIWARI
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Health Status ◽  
Fetal Heart Rate ◽  
Heart Sound ◽  
Fetal Heart ◽  
Heart Rate Variability Analysis ◽  
Nonlinear Features ◽  
Fetal Heart Rate Variability ◽  
Fetal Wellbeing

This paper presents an algorithm for classification of fetal health status using fetal heart rate variability (fHRV) analysis through phonocardiography. First, the fetal heart sound signals are acquired from the maternal abdominal surface using a specially developed Bluetooth-based wireless data recording system. Then, fetal heart rate (FHR) traces are derived from these signals. Ten numbers of linear and nonlinear features are extracted from each FHR trace. Finally, the multilayer perceptron (MLP) neural network is used to classify the health status of the fetus. Results show very promising performance toward the prediction of fetal wellbeing on the set of collected fetal heart sound signals. Finally, this work is likely to lead to an automatic screening device with additional potential of predicting fetal wellbeing.

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