The influences of nonstationarity and nonlinearity on heart rate time series can be mathematically qualified or quantified by multiscale entropy (MSE). The aim of this study is to investigate the prognostic value of parameters derived from MSE in the patients with systolic heart failure.21.2 served as a significant predictor of mortality or heart transplant (p = 0.0014).The area under the MSE curve for scale 6 to 20 is not relevant to β-blockers and could further warrant independent risk stratification for the prognosis of CHF patients
Heart rate variability (HRV) is a non-invasive measurement based on the intervals between normal hea...
Cardiovascular systems essentially have multiscale control mechanisms. Multiscale entropy (MSE) anal...
About one-third of acute stroke patients may experience stroke-in-evolution, which is often associat...
The influences of nonstationarity and nonlinearity on heart rate time series can be mathematically q...
Aims: The influences of nonstationarity and nonlinearity on heart rate time series can be mathematic...
AIMS: The influences of nonstationarity and nonlinearity on heart rate time series can be mathematic...
Aims: The influences of nonstationarity and nonlinearity on heart rate time series can be mathematic...
Aims: We aimed to assess the mutual interrelationships and to compare the prognostic value of a comp...
In this work, Refined Multiscale Entropy (RMSE) was applied to characterize risk of cardiac death in...
Chronic heart failure (CHF) is a major and growing public health concern (~23 million people worldwi...
Conventional heart rate variability (HRV) indices comprise time domain and frequency domain HRV indi...
Aims: We aimed to assess the mutual interrelationships and to compare the prognostic value of a comp...
Introduction: Extracorporeal life support (ECLS) can temporarily support cardiopulmonary function, a...
We assess the complexity of Heart Rate Variability (HRV) time series by computing Approximate Entrop...
Sudden cardiac death (SCD) is a leading cause of mortality with an incidence of 3 million cases per ...
Heart rate variability (HRV) is a non-invasive measurement based on the intervals between normal hea...
Cardiovascular systems essentially have multiscale control mechanisms. Multiscale entropy (MSE) anal...
About one-third of acute stroke patients may experience stroke-in-evolution, which is often associat...
The influences of nonstationarity and nonlinearity on heart rate time series can be mathematically q...
Aims: The influences of nonstationarity and nonlinearity on heart rate time series can be mathematic...
AIMS: The influences of nonstationarity and nonlinearity on heart rate time series can be mathematic...
Aims: The influences of nonstationarity and nonlinearity on heart rate time series can be mathematic...
Aims: We aimed to assess the mutual interrelationships and to compare the prognostic value of a comp...
In this work, Refined Multiscale Entropy (RMSE) was applied to characterize risk of cardiac death in...
Chronic heart failure (CHF) is a major and growing public health concern (~23 million people worldwi...
Conventional heart rate variability (HRV) indices comprise time domain and frequency domain HRV indi...
Aims: We aimed to assess the mutual interrelationships and to compare the prognostic value of a comp...
Introduction: Extracorporeal life support (ECLS) can temporarily support cardiopulmonary function, a...
We assess the complexity of Heart Rate Variability (HRV) time series by computing Approximate Entrop...
Sudden cardiac death (SCD) is a leading cause of mortality with an incidence of 3 million cases per ...
Heart rate variability (HRV) is a non-invasive measurement based on the intervals between normal hea...
Cardiovascular systems essentially have multiscale control mechanisms. Multiscale entropy (MSE) anal...
About one-third of acute stroke patients may experience stroke-in-evolution, which is often associat...