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Multidimensional recurrence quantification analysis (MdRQA) for the analysis of multidimensional time-series: A software implementation in MATLAB and its application to group-level data in joint action

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Standard

Multidimensional recurrence quantification analysis (MdRQA) for the analysis of multidimensional time-series: A software implementation in MATLAB and its application to group-level data in joint action. / Wallot, Sebastian; Roepstorff, Andreas; Mønster, Dan.
in: Frontiers in Psychology, Jahrgang 7, Nr. NOV, 1835, 22.11.2016.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Harvard

Wallot, S, Roepstorff, A & Mønster, D 2016, 'Multidimensional recurrence quantification analysis (MdRQA) for the analysis of multidimensional time-series: A software implementation in MATLAB and its application to group-level data in joint action', Frontiers in Psychology, Jg. 7, Nr. NOV, 1835. https://doi.org/10.3389/fpsyg.2016.01835

APA

Wallot, S., Roepstorff, A., & Mønster, D. (2016). Multidimensional recurrence quantification analysis (MdRQA) for the analysis of multidimensional time-series: A software implementation in MATLAB and its application to group-level data in joint action. Frontiers in Psychology, 7(NOV), Artikel 1835. https://doi.org/10.3389/fpsyg.2016.01835

Vancouver

Wallot S, Roepstorff A, Mønster D. Multidimensional recurrence quantification analysis (MdRQA) for the analysis of multidimensional time-series: A software implementation in MATLAB and its application to group-level data in joint action. Frontiers in Psychology. 2016 Nov 22;7(NOV):1835. doi: 10.3389/fpsyg.2016.01835

Bibtex

@article{a6409fe6007546139c7ae851c04a31f9,
title = "Multidimensional recurrence quantification analysis (MdRQA) for the analysis of multidimensional time-series: A software implementation in MATLAB and its application to group-level data in joint action",
abstract = "We introduce Multidimensional Recurrence Quantification Analysis (MdRQA) as a tool to analyze multidimensional time-series data. We show how MdRQA can be used to capture the dynamics of high-dimensional signals, and how MdRQA can be used to assess coupling between two or more variables. In particular, we describe applications of the method in research on joint and collective action, as it provides a coherent analysis framework to systematically investigate dynamics at different group levels-from individual dynamics, to dyadic dynamics, up to global group-level of arbitrary size. The Appendix in Supplementary Material contains a software implementation in MATLAB to calculate MdRQA measures.",
keywords = "Empirical education research, Correlation, Dynamics, Joint action, MATLAB, MdRQA, Multidimensional Recurrence Quantification Analysis, Multidimensional time-series, Psychology",
author = "Sebastian Wallot and Andreas Roepstorff and Dan M{\o}nster",
year = "2016",
month = nov,
day = "22",
doi = "10.3389/fpsyg.2016.01835",
language = "English",
volume = "7",
journal = "Frontiers in Psychology",
issn = "1664-1078",
publisher = "Frontiers Media",
number = "NOV",

}

RIS

TY - JOUR

T1 - Multidimensional recurrence quantification analysis (MdRQA) for the analysis of multidimensional time-series

T2 - A software implementation in MATLAB and its application to group-level data in joint action

AU - Wallot, Sebastian

AU - Roepstorff, Andreas

AU - Mønster, Dan

PY - 2016/11/22

Y1 - 2016/11/22

N2 - We introduce Multidimensional Recurrence Quantification Analysis (MdRQA) as a tool to analyze multidimensional time-series data. We show how MdRQA can be used to capture the dynamics of high-dimensional signals, and how MdRQA can be used to assess coupling between two or more variables. In particular, we describe applications of the method in research on joint and collective action, as it provides a coherent analysis framework to systematically investigate dynamics at different group levels-from individual dynamics, to dyadic dynamics, up to global group-level of arbitrary size. The Appendix in Supplementary Material contains a software implementation in MATLAB to calculate MdRQA measures.

AB - We introduce Multidimensional Recurrence Quantification Analysis (MdRQA) as a tool to analyze multidimensional time-series data. We show how MdRQA can be used to capture the dynamics of high-dimensional signals, and how MdRQA can be used to assess coupling between two or more variables. In particular, we describe applications of the method in research on joint and collective action, as it provides a coherent analysis framework to systematically investigate dynamics at different group levels-from individual dynamics, to dyadic dynamics, up to global group-level of arbitrary size. The Appendix in Supplementary Material contains a software implementation in MATLAB to calculate MdRQA measures.

KW - Empirical education research

KW - Correlation

KW - Dynamics

KW - Joint action

KW - MATLAB

KW - MdRQA

KW - Multidimensional Recurrence Quantification Analysis

KW - Multidimensional time-series

KW - Psychology

UR - http://www.scopus.com/inward/record.url?scp=85006421099&partnerID=8YFLogxK

U2 - 10.3389/fpsyg.2016.01835

DO - 10.3389/fpsyg.2016.01835

M3 - Journal articles

C2 - 27920748

AN - SCOPUS:85006421099

VL - 7

JO - Frontiers in Psychology

JF - Frontiers in Psychology

SN - 1664-1078

IS - NOV

M1 - 1835

ER -

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