Results 11 to 20 of about 721 (133)

Recurrence Quantification Analysis (RQA) of Toroidal End Tool Milling Process

Applied Sciences
One type of milling process is the face milling of flat surfaces using a toroidal face cutter. A key feature of this process is that changes in the depth of the cut alter the entering angle, impacting milling dynamics by shifting cutting force ...
Lukasz Zylka, Marcin Plodzien, Jaroslaw Latalski, Pawel Lajmert, Rafal Rusinek   +4 more
doaj   +4 more sources

Feasibility of recurrence quantification analysis (RQA) in quantifying dynamical coordination among muscles

Biomedical Signal Processing and Control, 2023
Surface electromyography (EMG) signal is a powerful tool to investigate motor control. However, due to the non -linearity and non-stationarity of EMG signals, linear methods hardly quantify the dynamical coordination among muscles. To quantify the dynamical characteristics and promote the applications of nonlinear methods in motor neuroscience and ...
Haiying Wen, Kunkun Zhao, Alessandro Scano   +2 more
exaly   +2 more sources

Global temporal typing patterns in foreign language writing: exploring language proficiency through recurrence quantification analysis (RQA)

Reading and Writing, 2022
AbstractRecurrence quantification analysis (RQA) is a time-series analysis method that uses autocorrelation properties of typing data to detect regularities within the writing process. The following paper first gives a detailed introduction to RQA and its application to time series data.
Joachim Grabowski, Monika Tschense, Sebastian Wallot   +2 more
exaly   +4 more sources

Recurrence Quantification Analysis as a Form of Postural Control Assessment: A Systematic Review

Applied Sciences, 2023
Human postural control is commonly assessed by center of pressure (CoP) displacement analysis. However, traditional linear parameters do not provide a complete picture of postural control, so a number of nonlinear analyses have been introduced.
Michalina Błażkiewicz, Anna Hadamus, Rafał Borkowski   +2 more
doaj   +3 more sources

Recurrence Quantification Analysis for Scene Change Detection and Foreground/Background Segmentation in Videos [PDF]

Journal of Imaging
This 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, Effrosyni Doutsi, Panagiotis Tsakalides   +2 more
doaj   +2 more sources

Recurrence quantification analysis (RQA) used for detection of ST segment deviation

FASEB Journal, 2009
The current clinical gold standard for the detection of acute myocardial ischemia is ST segment deviation from baseline. Unfortunately, ST segment deviation as a marker for ischemia has well documented limitations. Recent studies have used RQA to quantitatively analyze changes in heart rate variability.
Brek A. Wilkins, Ranga Komanduri, Satish Bukkapatnam, Hui Yang, Greta Warta, Bruce A Benjamin   +5 more
exaly   +2 more sources

Analyzing Multivariate Dynamics Using Cross-Recurrence Quantification Analysis (CRQA), Diagonal-Cross-Recurrence Profiles (DCRP), and Multidimensional Recurrence Quantification Analysis (MdRQA) – A Tutorial in R

Frontiers in Psychology, 2018
This paper provides a practical, hands-on introduction to cross-recurrence quantification analysis (CRQA), diagonal cross-recurrence profiles (DCRP), and multidimensional recurrence quantification analysis (MdRQA) in R.
Sebastian Wallot, Giuseppe Leonardi
doaj   +3 more sources

Differentiating Temporal Plus “Insula” Epilepsy From Temporal Lobe Epilepsy by Brain Networks Based on Noninvasive Examinations [PDF]

CNS Neuroscience &Therapeutics, Volume 31, Issue 7, July 2025.
The classification model based on 18F‐FDG PET and scalp EEG brain network features effectively identifies TPE patients with insular involvement from TLE patients. There are differences in the local network features of the insular region between the two patient groups.
Xu Hu, Zilin Li, Jiajie Mo, Wenhan Hu, Chao Zhang, Xiu Wang, Lin Sang, Zhong Zheng, Kai Zhang   +8 more
wiley   +2 more sources

BROAD‐NESS Uncovers Dual‐Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks [PDF]

Advanced Science, Volume 12, Issue 44, November 27, 2025.
BROADband Network Estimation via Source Space (BROAD‐NESS) is a flexible analytical pipeline for identifying large‐scale brain networks from event‐related, source‐reconstructed MEG data, with a focus on auditory predictive and memory processes. BROAD‐NESS integrates a suite of complementary tools, including PCA‐based decomposition, phase space, and ...
Leonardo Bonetti, Gemma Fernández‐Rubio, Mathias H. Andersen, Chiara Malvaso, Francesco Carlomagno, Claudia Testa, Peter Vuust, Morten L. Kringelbach, Mattia Rosso   +8 more
wiley   +2 more sources

Stability of Neural Oscillations Supports Auditory‐Motor Synchronization [PDF]

European Journal of Neuroscience, Volume 61, Issue 9, May 2025.
Participants synchronized melodies at different rates. Electroencephalography was analyzed with recurrence quantification. More accurate synchronization corresponded to greater neural stability. ABSTRACT Previous findings suggest that auditory‐motor synchronization is supported by increased coactivation of auditory and motor brain networks.
Rebecca Scheurich, Valentin Bégel, Ella Sahlas, Caroline Palmer   +3 more
wiley   +2 more sources