The usage of entropy analysis in gait research has grown considerably the last two decades.
The present paper reviews the application of different entropy analyses in gait research and …

Approximate entropy (ApEn) and sample entropy (SampEn) are mathematical algorithms
created to measure the repeatability or predictability within a time series. Both algorithms are …

The present paper is concerned with a review and evaluation of different methods that are
intended to detect and correct ectopic beats. Ectopic beats are abnormal beats that are due …

Complexity of heartbeat interval series is typically measured by entropy. Recent studies
have found that sample entropy (SampEn) or fuzzy entropy (FuzzyEn) quantifies essentially …

Early and accurate detection of myocardial infarction is imperative for reducing the mortality
rate due to heart attack. Present work proposes a novel technique aiming toward accurate …

Reliable diagnosis of depressive disorder is essential for both optimal treatment and
prevention of fatal outcomes. This study aimed to elucidate the effectiveness of two non …

Although Postpartum depression (PPD) and PPD with anxiety (PPD‐A) have been well
characterized as functional disruptions within or between multiple brain systems, however …

Objectives Biomarkers of major depressive disorder (MDD), its phases and forms have long
been sought. Objectives were to examine whether the complexity of EEG activity, measured …

Background Heart rate variability is the variation of the time interval between consecutive
heartbeats. Entropy is a commonly used tool to describe the regularity of data sets. Entropy …

Emotional recognition through exploring the electroencephalography (EEG) characteristics
has been widely performed in recent studies. Nonlinear analysis and feature extraction …