Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Coherence and apparent transfer function measurements for nonlinear physiological systems.

V Z Marmarelis1

  • 1Biomedical Engineering Department, University of Southern California, Los Angeles 90089-1451.

Annals of Biomedical Engineering
|January 1, 1988
PubMed
Summary
This summary is machine-generated.

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

Multiple-input nonlinear modelling of cerebral haemodynamics using spontaneous arterial blood pressure, end-tidal CO2 and heart rate measurements.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2016
Same author

Compartmental and Data-Based Modeling of Cerebral Hemodynamics: Linear Analysis.

IEEE access : practical innovations, open solutions·2016
Same author

Model-based physiomarkers of cerebral hemodynamics in patients with mild cognitive impairment.

Medical engineering & physics·2014
Same author

On parsing the neural code in the prefrontal cortex of primates using principal dynamic modes.

Journal of computational neuroscience·2013
Same author

Model-based quantification of cerebral hemodynamics as a physiomarker for Alzheimer's disease?

Annals of biomedical engineering·2013
Same author

Closed-loop dynamic modeling of cerebral hemodynamics.

Annals of biomedical engineering·2013
Same journal

A Physiologic Left Ventricle Flow Phantom for 4D Flow MRI Applications and CFD Verification.

Annals of biomedical engineering·2026
Same journal

Pulsatile Hemodynamics of Prehypertension and Hypertension: Associations with Pressure and Sex.

Annals of biomedical engineering·2026
Same journal

A Pressure Difference-Based Strategy for Blood Oxygen Control in Membrane Oxygenators: Reduced Modeling, Computational Simulation, and Exploratory In Vivo Evaluation.

Annals of biomedical engineering·2026
Same journal

Multidirectional Optical Bone Densitometry Using a Simulation-Based Machine Learning Model: Experimental Validation with Bone Phantoms.

Annals of biomedical engineering·2026
Same journal

Numerical Study of Human Torso Mechanical Response and Injury Assessment Under Blast Loading with Bulletproof Protection.

Annals of biomedical engineering·2026
Same journal

Immediate and Mid-Long-Term Effects of Foot Orthoses on Gait Biomechanics and Clinical Characteristics in Medial Knee Osteoarthritis: A Systematic Review and Meta-analysis.

Annals of biomedical engineering·2026
See all related articles

This study rigorously examines how nonlinearities in physiological systems affect coherence and transfer function measurements. It provides biomedical researchers with a framework to better interpret experimental data from complex biological systems.

Area of Science:

  • Biomedical Engineering
  • Systems Physiology
  • Nonlinear Dynamics

Background:

  • Physiological system modeling commonly uses input-output data and linear frequency-domain methods.
  • Coherence measurements assess linearity and data quality in these studies.
  • Many physiological systems exhibit inherent nonlinearities, complicating standard analysis.

Purpose of the Study:

  • To rigorously investigate the impact of system nonlinearities on coherence and apparent transfer function measurements.
  • To provide a theoretical framework for interpreting experimental results from nonlinear physiological systems.
  • To aid biomedical investigators in understanding data from complex biological dynamics.

Main Methods:

  • Analysis within the framework of Volterra-Wiener theory for nonlinear systems.

Related Experiment Videos

  • Detailed examination of quadratic nonlinear systems.
  • Use of simulation examples to illustrate analytical derivations.

    • Main Results:

    • Quantified effects of nonlinearities on coherence and apparent transfer function measurements.
    • Demonstrated how nonlinear system behavior can be misinterpreted using linear analysis tools.
    • Provided analytical derivations applicable to quadratic nonlinear systems.

    Conclusions:

    • Nonlinearities significantly affect standard linear analysis metrics like coherence and transfer functions.
    • The Volterra-Wiener framework offers a robust approach to analyzing nonlinear physiological systems.
    • This study enhances the interpretation of experimental data from complex biological systems.