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A computer simulation for learning about the physiological response to exercise

I P Coleman1, D G Dewhurst, A S Meehan

  • 1Faculty of Health and Social Care, Leeds Metropolitan University, United Kingdom.

The American Journal of Physiology
|June 1, 1994
PubMed
Summary
This summary is machine-generated.

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This study introduces an interactive computer program simulating physiological responses to graded exercise. The software effectively visualizes key exercise data and serves as a valuable educational tool for students.

Area of Science:

  • Exercise Physiology
  • Computational Biology
  • Educational Technology

Background:

  • Physiological responses to graded exercise are complex and crucial for understanding human performance.
  • Visualizing real-time physiological data aids in comprehending exercise science principles.
  • Interactive simulations offer a dynamic learning environment for complex biological systems.

Purpose of the Study:

  • To describe an interactive computer program simulating physiological responses to graded exercise.
  • To present a novel method for visualizing key physiological data during exercise.
  • To evaluate the program's efficacy as a teaching aid in exercise physiology.

Main Methods:

  • Development of an interactive computer program for IBM-compatible microcomputers.

Related Experiment Videos

  • Utilization of an empirical model to simulate physiological responses (heart rate, pulmonary ventilation, oxygen consumption, blood lactate).
  • Incorporation of user-selectable parameters (sex, age, height, weight, training level) and a cross-hair cursor for data measurement.
  • Main Results:

    • The program generates high-resolution graphic displays of physiological data, mimicking chart recorder output.
    • User-selectable parameters allow for personalized exercise simulations.
    • Positive evaluation by undergraduate students confirmed its effectiveness as a teaching aid.

    Conclusions:

    • The developed interactive program is an effective tool for teaching and learning exercise physiology.
    • The software's ability to simulate and visualize physiological responses enhances student understanding.
    • Potential applications in exercise science education and research are significant.