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

[From graphic charts to educational models].

Jirí Kofránek1, Jan Rusz

  • 1Laborator biokybernetiky, Ustav patologické fyziologie 1. LF UK, Praha.

Ceskoslovenska Fysiologie
|August 19, 2007
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

Speech Biomarkers for Quantifying Effects of Subthalamic Deep Brain Stimulation in Parkinson's Disease.

Annals of neurology·2026
Same author

Remote smartphone-based spoken language screening predicts clinical markers in Huntington's disease.

Journal of neural transmission (Vienna, Austria : 1996)·2026
Same author

Screening speech disorders in progressive neurological diseases via long-term average spectrum.

Journal of neural transmission (Vienna, Austria : 1996)·2026
Same author

Detecting linear dichroism with atomic resolution.

Nature materials·2026
Same author

Development of an Interpretable Deep Learning-Based Segmentation Algorithm for Automated Assessment of Oral Diadochokinesis in Progressive Neurological Diseases.

Journal of speech, language, and hearing research : JSLHR·2026
Same author

Speech and Deep Brain Stimulation in Parkinson's Disease, Essential Tremor, and Dystonia: A Systematic Review and Meta-analysis.

Movement disorders : official journal of the Movement Disorder Society·2026
Same journal

Metabolically healthy obese individuals -- mechanisms and clinical relevance.

Ceskoslovenska fysiologie·2018
Same journal

Drug sensitization induced by prenatal methamphetamine exposure.

Ceskoslovenska fysiologie·2018
Same journal

Stem cell conditioned medium for cell-free therapies.

Ceskoslovenska fysiologie·2018
Same journal

Vincenc Alexandr Bohdálek (1801-1883) and his contributions in the field of neuroscience.

Ceskoslovenska fysiologie·2018
Same journal

MutL protein homologue 1(MLH1) in colon adenocarcinomas of the dog: minireview.

Ceskoslovenska fysiologie·2018
Same journal

[The influence of physical load on the propriate immune and physiological parameters.]

Ceskoslovenska fysiologie·2018
See all related articles

This study revitalizes Guyton's large physiological model using Matlab/Simulink. The new simulation allows users to observe and analyze the behavior of all physiological variables over time.

Area of Science:

  • Physiology
  • Computational Biology
  • Medical Simulation

Context:

  • Guyton's large-scale physiological model, originally a graphic chart, has been a cornerstone in understanding physiological relationships for decades.
  • Traditional analysis diagrams lack dynamic simulation capabilities, limiting the study of physiological variable behavior over time.
  • Modern simulation tools offer advanced functionalities for creating interactive and dynamic models.

Purpose:

  • To update and enhance Guyton's physiological model with modern simulation technology.
  • To transform a static graphic chart into a dynamic, functional simulation model.
  • To enable the study of physiological variable behavior in a time-dependent manner.

Summary:

  • The authors implemented Guyton's comprehensive physiological model using Matlab/Simulink, preserving the original layout and connections.

Related Experiment Videos

  • Unlike static diagrams, this new implementation functions as a dynamic simulation model.
  • Users can now visualize and analyze the behavior of all model variables over time.

    • Impact:

    • Provides a powerful, interactive tool for learning and research in physiology.
    • Facilitates a deeper understanding of complex physiological interdependencies through dynamic simulation.
    • Demonstrates the potential of multimedia learning simulators in physiological education.