Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Alexander view as a stand-alone alternative to standard anteroposterior imaging for treatment decisions in acute acromioclavicular joint dislocation.

JSES international·2026

Same author

Environmental cleaning and disinfection practices for respiratory viruses in hospitals and long-term care facilities in the Netherlands.

Antimicrobial resistance and infection control·2026

Same author

Erratum: Multivariate assessment of the central-cardiorespiratory network structure in neuropathological disease (2018<i>Physiol. Meas</i>.<b>39</b>074004).

Physiological measurement·2026

Same author

Nosocomial outbreaks with rare yeasts: Trends, characteristics and preventive measures.

The Journal of infection·2026

Same author

Cognitive processes underlying the repetition-based truth effect: A diffusion model study.

Journal of experimental psychology. Learning, memory, and cognition·2026

Same author

How many infection control staff members are needed in acute care hospitals? A Delphi approach.

The Journal of hospital infection·2026

Same journal

Inverse FIP effect plasma in the solar atmosphere: a synthesis of current understanding and new insights from AR 11967.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026

Same journal

Signs of sulfur fractionation under high magnetic field strength.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026

Same journal

First ionization potential fractionation of sulfur observed with spectral imaging of the coronal environment.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026

Same journal

Chromospheric dynamics and turbulence regulate the solar FIP effect.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026

Same journal

Exploring the link between wave activity in the photospheric velocity driver and the FIP bias in the solar corona.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026

Same journal

Radiative hydrodynamic simulations of first ionization potential fractionation in solar flares.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 6, 2026

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Published on: June 27, 2025

Methods derived from nonlinear dynamics for analysing heart rate variability.

Andreas Voss¹, Steffen Schulz, Rico Schroeder

¹Department of Medical Engineering and Biotechnology, University of Applied Sciences Jena, 07745 Jena, Germany. voss@fh-jena.de

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences

|November 4, 2008

Summary

This summary is machine-generated.

Nonlinear dynamics (NLD) methods offer novel insights into heart rate (HR) variability, enhancing prognostic information beyond traditional analyses. This review details prominent NLD indices, their clinical applications, and future directions for HR variability assessment.

More Related Videos

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Published on: June 5, 2019

Related Experiment Videos

Last Updated: Jan 6, 2026

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Published on: June 27, 2025

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Published on: June 5, 2019

Area of Science:

Cardiology
Biomedical Engineering
Complex Systems Analysis

Background:

Heart rate (HR) variability analysis traditionally uses time- and frequency-domain methods.
Nonlinear dynamics (NLD) offers complementary insights into physiological and pathological conditions affecting HR variability.
Existing NLD indices provide prognostic information and aid in risk stratification.

Purpose of the Study:

To review prominent nonlinear and fractal dynamics indices for HR variability analysis.
To discuss algorithmic implementations and clinical trial applications of these NLD methods.
To highlight the diagnostic relevance and risk stratification capabilities of NLD techniques.

Main Methods:

Summary of prominent nonlinear and fractal dynamics indices.
Discussion of algorithmic implementations.
Review of applications in clinical trials, including fractal and symbolic dynamics.

Main Results:

NLD methods provide significant prognostic information for HR variability.
Indices based on mono- and multifractal analyses and symbolic dynamics show clinical relevance.
NLD techniques have demonstrated diagnostic value and utility in risk stratification.

Conclusions:

Nonlinear dynamics methods are valuable additions to HR variability analysis.
Further advances are anticipated through multidimensional and multivariate assessments.
The focus is shifting towards selecting appropriate NLD methods and standardizing their application.