Wearables as medical technologies are becoming an integral part of personal analytics,
measuring physical status, recording physiological parameters, or informing schedule for …

Time series analysis of intensive longitudinal data provides the psychological literature with
a powerful tool for assessing how psychological processes evolve through time. Recent …

The study of functional brain–heart interplay has provided meaningful insights in cardiology
and neuroscience. Regarding biosignal processing, this interplay involves predominantly …

Physiological system time series (signals) usually follow a pattern of fluctuations over time.
Mining the potential dynamic features of physiological system time series is the key to …

Time series analysis is increasingly popular across scientific domains. A key concept in time
series analysis is stationarity, the stability of statistical properties of a time series …

With increasing security and privacy requirements, electrocardiogram (ECG)-based
biometric human identification and authentication is gaining extensive attention. This paper …

Currently, oxygen uptake () is the most precise means of investigating aerobic fitness and
level of physical activity; however, can only be directly measured in supervised conditions …

Time series data recorded from physiological systems often innately exhibit inherent
physiological complexity variation on a long-range temporal scale. Multiscale analysis is …

Background: Multifractal analysis of human heartbeat dynamics has been demonstrated to
provide promising markers of congestive heart failure (CHF). Yet, it crucially builds on the …

Multifractal analysis has become a reference tool for signal and image processing.
Grounded in the quantification of local regularity fluctuations, it has proven useful in an …