Multi-Scale Recurrence Quantification Measurements for Voice Disorder Detection
Applied Sciences, 2022 Due to the complexity and non-stationarity of the voice generation system, the nonlinearity of speech signals cannot be accurately quantified. Recently, the recurrence quantification analysis method has been used for voice disorder detection.
Xin-Cheng Zhu +4 more
doaj +3 more sources
Detecting transitions in protein dynamics using a recurrence quantification analysis based bootstrap method [PDF]
BMC Bioinformatics, 2017 Background Proteins undergo conformational transitions over different time scales. These transitions are closely intertwined with the protein’s function.
Wael I. Karain
doaj +2 more sources
Nonlinear dynamics in Divisia monetary aggregates: an application of recurrence quantification analysis [PDF]
Financial Innovation, 2023 We construct recurrence plots (RPs) and conduct recurrence quantification analysis (RQA) to investigate the dynamic properties of the new Center for Financial Stability (CFS) Divisia monetary aggregates for the United States.
Ioannis Andreadis +3 more
doaj +2 more sources
Recurrence Quantification Analysis for Scene Change Detection and Foreground/Background Segmentation in Videos [PDF]
Journal of ImagingThis paper presents the mathematical framework of Recurrence Quantification Analysis (RQA) for dynamic video processing, exploring its applications in two primary tasks: scene change detection and adaptive foreground/background segmentation.
Theodora Kyprianidi +2 more
doaj +2 more sources
Anaesthesia monitoring by recurrence quantification analysis of EEG data.
PLoS ONE, 2010 Appropriate monitoring of the depth of anaesthesia is crucial to prevent deleterious effects of insufficient anaesthesia on surgical patients. Since cardiovascular parameters and motor response testing may fail to display awareness during surgery ...
Klaus Becker +6 more
doaj +5 more sources
Investigation of nonlinear pupil dynamics by recurrence quantification analysis. [PDF]
Biomed Res Int, 2013 Pupil is controlled by the autonomous nervous system (ANS). It shows complex movements and changes of size even in conditions of constant stimulation. The possibility of extracting information on ANS by processing data recorded during a short experiment using a low cost system for pupil investigation is studied.
Mesin L, Monaco A, Cattaneo R.
europepmc +5 more sources
Recurrence Quantification Analysis of Sentence-Level Speech Kinematics. [PDF]
J Speech Lang Hear Res, 2016 PurposeCurrent approaches to assessing sentence-level speech variability rely on measures that quantify variability across utterances and use normalization procedures that alter raw trajectory data. The current work tests the feasibility of a less restrictive nonlinear approach—recurrence quantification analysis (RQA)—via a procedural example and ...
Jackson ES +3 more
europepmc +4 more sources
Stability Analysis of Bitcoin using Recurrence Quantification Analysis
Chaos Theory and Applications, 2022 Cryptocurrencies are new kinds of electronic currencies based on communication technologies. These currencies have attracted the attention of investors. However, cryptocurrencies are very volatile and unpredictable. For investors, it is very difficult to
Baki Ünal
doaj +1 more source
Recurrence quantification analysis of dynamic brain networks [PDF]
European Journal of Neuroscience, 2020 Abstract Evidence suggests that brain network dynamics are a key determinant of brain function and dysfunction. Here we propose a new framework to assess the dynamics of brain networks based on recurrence analysis. Our framework uses recurrence plots and recurrence quantification analysis to characterize dynamic networks.
Lopes, Marinho A. +6 more
openaire +3 more sources
STRONG LAWS FOR RECURRENCE QUANTIFICATION ANALYSIS [PDF]
International Journal of Bifurcation and Chaos, 2013 The recurrence rate and determinism are two of the basic complexity measures studied in the recurrence quantification analysis. In this paper, the recurrence rate and determinism are expressed in terms of the correlation sum, and strong laws of large numbers are given for them.
Marian Grendár Jr. +2 more
openaire +2 more sources