Using complexity metrics with R-R intervals and BPM heart rate measures

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Standard

Using complexity metrics with R-R intervals and BPM heart rate measures. / Wallot, Sebastian; Fusaroli, Riccardo; Tylén, Kristian et al.
in: Frontiers in Physiology, Jahrgang 4, 211, 30.09.2013.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Harvard

APA

Vancouver

Wallot S, Fusaroli R, Tylén K, Jegindø EM. Using complexity metrics with R-R intervals and BPM heart rate measures. Frontiers in Physiology. 2013 Sep 30;4:211. doi: 10.3389/fphys.2013.00211

Bibtex

@article{20fa52b5272a4dbaa1a7468c5801c114,
title = "Using complexity metrics with R-R intervals and BPM heart rate measures",
abstract = "Lately, growing attention in the health sciences has been paid to the dynamics of heart rate as indicator of impending failures and for prognoses. Likewise, in social and cognitive sciences, heart rate is increasingly employed as a measure of arousal, emotional engagement and as a marker of interpersonal coordination. However, there is no consensus about which measurements and analytical tools are most appropriate in mapping the temporal dynamics of heart rate and quite different metrics are reported in the literature. As complexity metrics of heart rate variability depend critically on variability of the data, different choices regarding the kind of measures can have a substantial impact on the results. In this article we compare linear and non-linear statistics on two prominent types of heart beat data, beat-to-beat intervals (R-R interval) and beats-per-min (BPM). As a proof-of-concept, we employ a simple rest-exercise-rest task and show that non-linear statistics-fractal (DFA) and recurrence (RQA) analyses-reveal information about heart beat activity above and beyond the simple level of heart rate. Non-linear statistics unveil sustained post-exercise effects on heart rate dynamics, but their power to do so critically depends on the type data that is employed: While R-R intervals are very susceptible to non-linear analyses, the success of non-linear methods for BPM data critically depends on their construction. Generally, {"}oversampled{"} BPM time-series can be recommended as they retain most of the information about non-linear aspects of heart beat dynamics.",
keywords = "Psychology, BPM, Detrended fluctuation analysis, Exercise, Heart-beat complexity, R-R interval, Recurrence quantification analysis",
author = "Sebastian Wallot and Riccardo Fusaroli and Kristian Tyl{\'e}n and Jegind{\o}, {Else Marie}",
year = "2013",
month = sep,
day = "30",
doi = "10.3389/fphys.2013.00211",
language = "English",
volume = "4",
journal = "Frontiers in Physiology",
issn = "1664-042X",
publisher = "Frontiers Media",

}

RIS

TY - JOUR

T1 - Using complexity metrics with R-R intervals and BPM heart rate measures

AU - Wallot, Sebastian

AU - Fusaroli, Riccardo

AU - Tylén, Kristian

AU - Jegindø, Else Marie

PY - 2013/9/30

Y1 - 2013/9/30

N2 - Lately, growing attention in the health sciences has been paid to the dynamics of heart rate as indicator of impending failures and for prognoses. Likewise, in social and cognitive sciences, heart rate is increasingly employed as a measure of arousal, emotional engagement and as a marker of interpersonal coordination. However, there is no consensus about which measurements and analytical tools are most appropriate in mapping the temporal dynamics of heart rate and quite different metrics are reported in the literature. As complexity metrics of heart rate variability depend critically on variability of the data, different choices regarding the kind of measures can have a substantial impact on the results. In this article we compare linear and non-linear statistics on two prominent types of heart beat data, beat-to-beat intervals (R-R interval) and beats-per-min (BPM). As a proof-of-concept, we employ a simple rest-exercise-rest task and show that non-linear statistics-fractal (DFA) and recurrence (RQA) analyses-reveal information about heart beat activity above and beyond the simple level of heart rate. Non-linear statistics unveil sustained post-exercise effects on heart rate dynamics, but their power to do so critically depends on the type data that is employed: While R-R intervals are very susceptible to non-linear analyses, the success of non-linear methods for BPM data critically depends on their construction. Generally, "oversampled" BPM time-series can be recommended as they retain most of the information about non-linear aspects of heart beat dynamics.

AB - Lately, growing attention in the health sciences has been paid to the dynamics of heart rate as indicator of impending failures and for prognoses. Likewise, in social and cognitive sciences, heart rate is increasingly employed as a measure of arousal, emotional engagement and as a marker of interpersonal coordination. However, there is no consensus about which measurements and analytical tools are most appropriate in mapping the temporal dynamics of heart rate and quite different metrics are reported in the literature. As complexity metrics of heart rate variability depend critically on variability of the data, different choices regarding the kind of measures can have a substantial impact on the results. In this article we compare linear and non-linear statistics on two prominent types of heart beat data, beat-to-beat intervals (R-R interval) and beats-per-min (BPM). As a proof-of-concept, we employ a simple rest-exercise-rest task and show that non-linear statistics-fractal (DFA) and recurrence (RQA) analyses-reveal information about heart beat activity above and beyond the simple level of heart rate. Non-linear statistics unveil sustained post-exercise effects on heart rate dynamics, but their power to do so critically depends on the type data that is employed: While R-R intervals are very susceptible to non-linear analyses, the success of non-linear methods for BPM data critically depends on their construction. Generally, "oversampled" BPM time-series can be recommended as they retain most of the information about non-linear aspects of heart beat dynamics.

KW - Psychology

KW - BPM

KW - Detrended fluctuation analysis

KW - Exercise

KW - Heart-beat complexity

KW - R-R interval

KW - Recurrence quantification analysis

UR - http://www.scopus.com/inward/record.url?scp=84884544705&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/01391689-d402-3c27-8cea-f77ae1ad7198/

U2 - 10.3389/fphys.2013.00211

DO - 10.3389/fphys.2013.00211

M3 - Journal articles

AN - SCOPUS:84884544705

VL - 4

JO - Frontiers in Physiology

JF - Frontiers in Physiology

SN - 1664-042X

M1 - 211

ER -

DOI

Zuletzt angesehen

Aktivitäten

  1. Between Connections and Knowledge: An Approach to Culture through Graph Theory and Complex Systems
  2. Digital, open and collaborative: New teaching formats for times of crisis – and beyond?
  3. Vortrag: Assessing and Managing Sustainable Business Models - A Status Update
  4. Unboxing Uncertainties – Interrogating Forecasting and Foreclosing Future Infrastructures in the Amazon Town
  5. Artifacts and frames in socio-technical anticipation: The case of responsible AI
  6. Between Inclusion and Competitive Orientation: Educational Practices and Perceptions of NGOs in the Context of the EU-Turkey Agreement.
  7. Projektabschlusspräsentation
  8. Empirical Research Methods on Legitimacy: Repertory Grid as the Interface between „Measuring“ and „Evaluating“
  9. Workshop mit David Bates: "Compossible Worlds"
  10. 2nd Organizing Creativity Transalpine Paper Development Workshop
  11. On the Difficulties and Promises of Accessing and Mobilizing Information around Deportation-related Identification
  12. Intersecting Practices and Experiences of Educational Exclusions in Germany and Turkey – Implications for Transnational Professionalisation Processes
  13. Using the Method of Limits to Assess Comfortable Time Headways in Adaptive Cruise Control
  14. Unraveling the Complexity of U.S. Presidential Approval
  15. International Conference of EAS and ISME - 2007
  16. Crazy, Classified City Life - Hackfeminist Future-Making Practices between Dystopia and Utopia, Predictability and Possibility
  17. Requests in Nigerian and British English conversational interactions: A corpus-based approach.
  18. GDCP Jahrestagung 2020
  19. Guest Lecture: Freedom Rising: Human Empowerment and the Quest for Emancipation
  20. Self-directed career management, presence of calling, and core self-evaluations: Test of a mediation model
  21. 131st MLA Annual Convention 2016
  22. 25th International Conference on System Theory, Control and Computing

Publikationen

  1. An analytical approach to evaluating monotonic functions of fuzzy numbers
  2. Interactive Media as Fields of Transduction
  3. Intellectual property issues in the use and distribution of remote sensing data
  4. Pushing the Envelope: Creating Public Value in the Labor Market
  5. Proceedings of the 7th Natural Language Interfaces for the Web of Data (NLIWoD)
  6. Technical concept and evaluation design of the state subsidized project [Level-Q]
  7. Where pragmatics and dialectology meet: Introducing variational pragmatics
  8. Influence of initial severity of depression on effectiveness of low intensity interventions
  9. Differences in the sophistication of Value-based Management
  10. Gaining deep leverage? Reflecting and shaping real-world lab impacts through leverage points
  11. A Lyapunov Approach to Set the Parameters of a PI-Controller to Minimise Velocity Oscillations in a Permanent Magnet Synchronous Motor Using Chopper Control for Electrical Vehicles
  12. Explaining implementation deficits through multi-level governance in the EU's new member states
  13. The role of spatial ability when fostering mental animation in multimedia learning
  14. Comparing Web-Based and Blended Training for Coping With Challenges of Flexible Work Designs
  15. The role of learning strategies for performance in mathematics courses for engineers
  16. The Potential of AutoML for Demand Forecasting
  17. Appreciating ecological complexity
  18. Organizing Half-Things: Knowing, Theorizing and Studying Atmospheres
  19. The creation and analysis of employer-employee matched data, ed. by John C. Haltiwanger ...
  20. Building trust