Parametric estimation of sample entropy in heart rate variability analysis
M Aktaruzzaman, R Sassi - Biomedical Signal Processing and Control, 2014 - Elsevier
In this paper, a detailed study on the possibility and significance of performing a parametric
estimation of sample entropy (SampEn) is proposed. SampEn is a non-linear metric, meant …
estimation of sample entropy (SampEn) is proposed. SampEn is a non-linear metric, meant …
ECG Approximate Entropy in the Elderly during Cycling Exercise
Approximate entropy (ApEn) is used as a nonlinear measure of heart-rate variability (HRV)
in the analysis of ECG time-series recordings. Previous studies have reported that HRV can …
in the analysis of ECG time-series recordings. Previous studies have reported that HRV can …
Exploring total cardiac variability in healthy and pathophysiological subjects using improved refined multiscale entropy
P Marwaha, RK Sunkaria - Medical & biological engineering & computing, 2017 - Springer
Multiscale entropy (MSE) and refined multiscale entropy (RMSE) techniques are being
widely used to evaluate the complexity of a time series across multiple time scales 't'. Both …
widely used to evaluate the complexity of a time series across multiple time scales 't'. Both …
Cardiac variability time–series analysis by sample entropy and multiscale entropy
P Marwaha, RK Sunkaria - International Journal of Medical …, 2015 - inderscienceonline.com
Ever since the use of heart rate variability (HRV) as a tool for quantification of autonomic
nervous system dynamics has become popular, the interest in exploring the hidden …
nervous system dynamics has become popular, the interest in exploring the hidden …
Entropy measures of irregularity and complexity for surface electrocardiogram time series in patients with congestive heart failure
C Kamath - Journal of Advances in Computer Research, 2015 - jacr.sari.iau.ir
Congestive heart failure (CHF) remains to be one of the major cardiovascular disorders in
the world. Due to the prevalence of CHF related issues, it is prudent to seek out new …
the world. Due to the prevalence of CHF related issues, it is prudent to seek out new …
A Multimodal Dataset of 21,412 Recorded Nights for Sleep and Respiratory Research
A Diament, M Gorodetski, A Jankelow, A Keshet… - arXiv preprint arXiv …, 2023 - arxiv.org
This study introduces a novel, rich dataset obtained from home sleep apnea tests using the
FDA-approved WatchPAT-300 device, collected from 7,077 participants over 21,412 nights …
FDA-approved WatchPAT-300 device, collected from 7,077 participants over 21,412 nights …
Kernel based support vector machine for the early detection of syncope during head-up tilt test
N Khodor, D Matelot, G Carrault… - Physiological …, 2014 - iopscience.iop.org
This study aims to analyze the autonomic nervous system response during head-up tilt test
(HUTT), by exploring the changes in dynamic properties of heart rate variability in subjects …
(HUTT), by exploring the changes in dynamic properties of heart rate variability in subjects …
On the feasibility of tilt test outcome early prediction using ECG and pressure parameters
FJ Gimeno-Blanes, JL Rojo-Álvarez… - EURASIP Journal on …, 2011 - Springer
The tilt test is a valuable clinical tool for vasovagal syncope (VVS) diagnostic, and its early
prediction from simple ECG and blood pressure-based parameters has widely been studied …
prediction from simple ECG and blood pressure-based parameters has widely been studied …
Effect of Age in Normal Women by Heart Rate Variability Analysis
AC Birajdar, VR Thool - Applied Artificial Intelligence, 2023 - taylorfrancis.com
Heart rate variability (HRV) is an important tool to assess an autonomic nervous system
(ANS), which regulates the heart dynamics. This chapter illustrates the influence of age on a …
(ANS), which regulates the heart dynamics. This chapter illustrates the influence of age on a …
A Multithreaded Algorithm for the Computation of Sample Entropy
Many popular entropy definitions for signals, including approximate and sample entropy, are
based on the idea of embedding the time series into an m-dimensional space, aiming to …
based on the idea of embedding the time series into an m-dimensional space, aiming to …