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

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

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.

Original languageEnglish
Article number211
JournalFrontiers in Physiology
Volume4
Number of pages8
DOIs
Publication statusPublished - 30.09.2013
Externally publishedYes

    Research areas

  • Psychology - BPM, Detrended fluctuation analysis, Exercise, Heart-beat complexity, R-R interval, Recurrence quantification analysis

DOI

Recently viewed

Publications

  1. Using learning protocols for knowledge acquisition and problem solving with individual and group incentives
  2. Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System
  3. Data-Driven flood detection using neural networks
  4. Building Assistance Systems using Distributed Knowledge Representations
  5. DialogueMaps: Supporting interactive transdisciplinary dialogues with a web-based tool for multi-layer knowledge maps
  6. Evaluation of Time/Phase Parameters in Frequency Measurements for Inertial Navigation Systems
  7. Anomaly detection in formed sheet metals using convolutional autoencoders
  8. Identification of structure-biodegradability relationships for ionic liquids - clustering of a dataset based on structural similarity
  9. The Scalable Question Answering Over Linked Data (SQA) Challenge 2018
  10. Exact and approximate inference for annotating graphs with structural SVMs
  11. Development of a quality assurance framework for the open source development model
  12. Different approaches to learning from errors: Comparing the effectiveness of high reliability and error management approaches
  13. A Control Scheme for PMSMs using Model Predictive Control and a Feedforward Action in the Presence of Saturated Inputs
  14. Changing the Administration from within:
  15. Dynamically changing sequencing rules with reinforcement learning in a job shop system with stochastic influences
  16. Joint entity and relation linking using EARL
  17. Using cross-recurrence quantification analysis to compute similarity measures for time series of unequal length with applications to sleep stage analysis
  18. Accounting and Modeling as Design Metaphors for CEMIS
  19. Using complexity metrics with R-R intervals and BPM heart rate measures
  20. Recurrence quantificationanalysis as a general-purpose tool for bridging the gap between qualitative and quantitative analysis
  21. ActiveMath - a Learning Platform With Semantic Web Features
  22. An expert-based reference list of variables for characterizing and monitoring social-ecological systems
  23. Analyzing User Journey Data In Digital Health: Predicting Dropout From A Digital CBT-I Intervention
  24. Using transition management concepts for the evaluation of intersecting policy domains ('grand challenges')
  25. Global temporal typing patterns in foreign language writing
  26. Complex problem solving and intelligence
  27. Finding Creativity in Predictability: Seizing Kairos in Chronos Through Temporal Work in Complex Innovation Processes
  28. XOperator - An extensible semantic agent for instant messaging networks
  29. Proxies
  30. Conceptualizing Role Development in Agile Transformations
  31. Integration of Environmental Management Information Systems and ERP systems using Integration Platforms