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Relevant bibliographies by topics / Multidimensional Recurrence Quantification Analysis (MdRQA)

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Academic literature on the topic 'Multidimensional Recurrence Quantification Analysis (MdRQA)'

Author: Grafiati

Published: 7 February 2025

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Journal articles on the topic "Multidimensional Recurrence Quantification Analysis (MdRQA)"

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Hall, Caitrín, Ji Chul Kim, and Alexandra Paxton. "Multidimensional recurrence quantification analysis of human-metronome phasing." PLOS ONE 18, no. 2 (2023): e0279987. http://dx.doi.org/10.1371/journal.pone.0279987.

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Perception-action coordination (also known as sensorimotor synchronization, SMS) is often studied by analyzing motor coordination with auditory rhythms. The current study assesses phasing—a compositional technique in which two people tap the same rhythm at varying phases by adjusting tempi—to explore how SMS is impacted by individual and situational factors. After practice trials, participants engaged in the experimental phasing task with a metronome at tempi ranging from 80–140 beats per minute (bpm). Multidimensional recurrence quantification analysis (MdRQA) was used to compare nonlinear dy

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Laudańska, Zuzanna, David López Pérez, Alicja Radkowska, et al. "Changes in the Complexity of Limb Movements during the First Year of Life across Different Tasks." Entropy 24, no. 4 (2022): 552. http://dx.doi.org/10.3390/e24040552.

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Infants’ limb movements evolve from disorganized to more selectively coordinated during the first year of life as they learn to navigate and interact with an ever-changing environment more efficiently. However, how these coordination patterns change during the first year of life and across different contexts is unknown. Here, we used wearable motion trackers to study the developmental changes in the complexity of limb movements (arms and legs) at 4, 6, 9 and 12 months of age in two different tasks: rhythmic rattle-shaking and free play. We applied Multidimensional Recurrence Quantification Ana

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Høffding, Simon, Wenbo Yi, Eigil Lippert, et al. "Into the Hive-Mind: Shared Absorption and Cardiac Interrelations in Expert and Student String Quartets." Music & Science 6 (January 2023): 205920432311685. http://dx.doi.org/10.1177/20592043231168597.

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Expert musicians portray awe-inspiring precision, timing, and phrasing and may be thought to partake in a “hive-mind.” Such a shared musical absorption is characterized by a heightened empathic relation, mutual trust, and a sense that the music “takes over,” thus uniting the performers’ musical intentions. Previous studies have found correlations between empathic concern or shared experience and cardiac synchrony (CS). We aimed to investigate shared musical absorption in terms of CS by analyzing CS in two quartets: a student quartet, the Borealis String Quartet (BSQ), and an expert quartet, th

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Wallot, Sebastian. "Multidimensional Cross-Recurrence Quantification Analysis (MdCRQA) – A Method for Quantifying Correlation between Multivariate Time-Series." Multivariate Behavioral Research 54, no. 2 (2018): 173–91. http://dx.doi.org/10.1080/00273171.2018.1512846.

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Tolston, Michael T., Gregory J. Funke, Gene M. Alarcon, et al. "Have a Heart: Predictability of Trust in an Autonomous Agent Teammate through Team-Level Measures of Heart Rate Synchrony and Arousal." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (2018): 714–15. http://dx.doi.org/10.1177/1541931218621162.

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Progression toward sophisticated machines with the capacity to act as partners in tactical and strategic situations means that human operators will increasingly rely on collaborative input from agent teammates (e.g., Masiello, 2013). However, plans to team autonomous agents with humans raise new questions regarding the effects that such teammates might have on important team psychological processes, such as team cognition and trust. Specifically, it is not known how modifications in team structure, such as changes in team size, influence team dynamics and psychological processes when the team

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He, Qian, and Jingjing Huang. "Multiwavelet scale multidimensional recurrence quantification analysis." Chaos: An Interdisciplinary Journal of Nonlinear Science 30, no. 12 (2020): 123109. http://dx.doi.org/10.1063/5.0025882.

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Coco, Moreno,I, Dan Mønster, Giuseppe Leonardi, Rick Dale, and Sebastian Wallot. "Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis with crqa." R Journal 13, no. 1 (2021): 145. http://dx.doi.org/10.32614/rj-2021-062.

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Shekhar, Himanshu Kumar, Chetan Kamble, Ashish Thakur, and Sanjeet Kumar Bhagat. "Application of Recurrence Quantification Analysis for Non-Linear Dynamical Systems." International Journal of Engineering and Advanced Technology 9, no. 1s5 (2019): 92–94. http://dx.doi.org/10.35940/ijeat.a1010.1291s519.

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The Recurrence plots (RPs) have been introduced in several different scientific and medical disciplines. The main purpose of recurrence plot is used to of identify the higher dimensional phase space trajectories. RPs are purely graphically representation which have been designed for the detection of hidden dynamical patterns and non-linearity present in the data, the evaluation of error which is caused by observational noise can be done by Recurrence Quantification Analysis (RQA). RQA method is initially used to minimize the error present in the given signals. RQA method is a basically a techn

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Zervou, Michaela Areti, Effrosyni Doutsi, Pavlos Pavlidis, and Panagiotis Tsakalides. "Structural classification of proteins based on the computationally efficient recurrence quantification analysis and horizontal visibility graphs." Bioinformatics 37, no. 13 (2021): 1796–804. http://dx.doi.org/10.1093/bioinformatics/btab407.

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Abstract Motivation Protein structural class prediction is one of the most significant problems in bioinformatics, as it has a prominent role in understanding the function and evolution of proteins. Designing a computationally efficient but at the same time accurate prediction method remains a pressing issue, especially for sequences that we cannot obtain a sufficient amount of homologous information from existing protein sequence databases. Several studies demonstrate the potential of utilizing chaos game representation along with time series analysis tools such as recurrence quantification a

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Algumaei, Mohammed, Imali Hettiarachchi, Rakesh Veerabhadrappa, and Asim Bhatti. "Physiological Synchrony Predict Task Performance and Negative Emotional State during a Three-Member Collaborative Task." Sensors 23, no. 4 (2023): 2268. http://dx.doi.org/10.3390/s23042268.

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Evaluation of team performance in naturalistic contexts has gained popularity during the last two decades. Among other human factors, physiological synchrony has been adopted to investigate team performance and emotional state when engaged in collaborative team tasks. A variety of methods have been reported to quantify physiological synchrony with a varying degree of correlation with the collaborative team task performance and emotional state, reflected in the inconclusive nature of findings. Little is known about the effect of the choice of synchrony calculation methods and the level of analy

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Conference papers on the topic "Multidimensional Recurrence Quantification Analysis (MdRQA)"

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Li, Jinping, Na Wei, Shouwei Yue, and Ke Li. "Multidimensional Recurrence Quantification Analysis of Multi-muscle Synergy in Elderly during Standing on Slopes." In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society. IEEE, 2020. http://dx.doi.org/10.1109/embc44109.2020.9175698.

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Vrzakova, Hana, Mary Jean Amon, Angela E. B. Stewart, and Sidney K. D'Mello. "Dynamics of Visual Attention in Multiparty Collaborative Problem Solving using Multidimensional Recurrence Quantification Analysis." In CHI '19: CHI Conference on Human Factors in Computing Systems. ACM, 2019. http://dx.doi.org/10.1145/3290605.3300572.

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