Review and classification of variability analysis techniques with clinical applications
Abstract Analysis of patterns of variation of time-series, termed variability analysis,
represents a rapidly evolving discipline with increasing applications in different fields of …
represents a rapidly evolving discipline with increasing applications in different fields of …
Traumatic brain injury detection using electrophysiological methods
PE Rapp, DO Keyser, A Albano… - Frontiers in human …, 2015 - frontiersin.org
Measuring neuronal activity with electrophysiological methods may be useful in detecting
neurological dysfunctions, such as mild traumatic brain injury (mTBI). This approach may be …
neurological dysfunctions, such as mild traumatic brain injury (mTBI). This approach may be …
Impact of drought and heat stress individually and in combination on physio-biochemical parameters, antioxidant responses, and gene expression in Solanum …
V Raja, SU Qadir, MN Alyemeni, P Ahmad - 3 Biotech, 2020 - Springer
The present study was carried out to investigate the effect of individual drought, heat, and
combined drought and heat stress on tomato plants. Combined stress resulted in the higher …
combined drought and heat stress on tomato plants. Combined stress resulted in the higher …
Accurate estimation of entropy in very short physiological time series: the problem of atrial fibrillation detection in implanted ventricular devices
DE Lake, JR Moorman - American Journal of Physiology …, 2011 - journals.physiology.org
Entropy estimation is useful but difficult in short time series. For example, automated
detection of atrial fibrillation (AF) in very short heart beat interval time series would be useful …
detection of atrial fibrillation (AF) in very short heart beat interval time series would be useful …
Entropy of balance-some recent results
FG Borg, G Laxåback - Journal of neuroengineering and rehabilitation, 2010 - Springer
Background Entropy when applied to biological signals is expected to reflect the state of the
biological system. However the physiological interpretation of the entropy is not always …
biological system. However the physiological interpretation of the entropy is not always …
Distinguishing chaotic and stochastic dynamics from time series by using a multiscale symbolic approach
In this paper we introduce a multiscale symbolic information-theory approach for
discriminating nonlinear deterministic and stochastic dynamics from time series associated …
discriminating nonlinear deterministic and stochastic dynamics from time series associated …
Center-of-pressure regularity as a marker for attentional investment in postural control: a comparison between sitting and standing postures
M Roerdink, P Hlavackova, N Vuillerme - Human movement science, 2011 - Elsevier
Postural control is a highly automatized basic activity that requires limited attentional
investments. These investments have been shown to increase from balancing experts to …
investments. These investments have been shown to increase from balancing experts to …
Transition from persistent to anti-persistent correlations in postural sway indicates velocity-based control
D Delignières, K Torre, PL Bernard - PLoS computational biology, 2011 - journals.plos.org
The displacement of the center-of-pressure (COP) during quiet stance has often been
accounted for by the control of COP position dynamics. In this paper, we discuss the …
accounted for by the control of COP position dynamics. In this paper, we discuss the …
Sample entropy, univariate, and multivariate multi-scale entropy in comparison with classical postural sway parameters in young healthy adults
C Hansen, Q Wei, JS Shieh, P Fourcade… - Frontiers in human …, 2017 - frontiersin.org
The present study aimed to compare various entropy measures to assess the dynamics and
complexity of center of pressure (COP) displacements. Perturbing balance tests are often …
complexity of center of pressure (COP) displacements. Perturbing balance tests are often …
Two-dimensional sample entropy: Assessing image texture through irregularity
Image texture analysis is a key task in computer vision. Although various methods have
been applied to extract texture information, none of them are based on the principles of …
been applied to extract texture information, none of them are based on the principles of …