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Related Concept Videos

Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

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The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
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Cardiac Output I:Effect of Heart Rate on Cardiac Output01:19

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Cardiac Output
Cardiac output (CO) refers to the total amount of blood ejected by one of the ventricles in liters per minute (L/min). In a resting adult, CO ranges from 5 to 6 L/min, adjusting according to the body's metabolic requirements.
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Exercise and Cardiovascular Response01:20

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Exercise significantly impacts cardiovascular response, which is crucial for understanding patient health and designing effective treatment plans.
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Regular physical activity is essential for maintaining cardiovascular health, with aerobic exercises being particularly effective. According to the American Heart Association, 150 minutes of moderate to intense aerobic exercise per week is recommended for a healthy heart. Aerobic activities may include brisk walking, running, bicycling, cross-country skiing, and swimming, ideally performed three to five times per week.
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The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
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Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
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Real-time modelling of heart rate response during exercise using a novel constrained parameter estimation method.

Ahmadreza Argha, Lin Ye, Steven W Su

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 9, 2017
    PubMed
    Summary

    This study introduces a new method for real-time heart rate (HR) modeling during exercise, preventing common estimation errors. The developed recursive constrained parameter estimation accurately identifies HR dynamics for better exercise control.

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    Area of Science:

    • Biomedical Engineering
    • Physiological Modeling
    • Control Systems

    Background:

    • Accurate real-time heart rate (HR) modeling is crucial for effective exercise regulation and performance.
    • Conventional parameter estimation methods, like Recursive Least Squares (RLS), can suffer from "blowup" phenomena, especially with limited or non-exciting data.
    • Time-varying dynamics of HR response necessitate adaptive online modeling approaches.

    Purpose of the Study:

    • To develop a novel recursive constrained parameter estimation method for real-time heart rate (HR) response modeling during treadmill exercise.
    • To overcome the "blowup" phenomena encountered in traditional estimation schemes.
    • To provide a robust online modeling solution for HR regulation during physical activity.

    Main Methods:

    • A novel recursive constrained parameter estimation algorithm was designed.
    • The objective function was modified by incorporating weighting factors for parameter variation relative to prior knowledge and one-step parameter changes.
    • The method was validated experimentally on eight healthy male subjects during treadmill exercise.

    Main Results:

    • The proposed estimation scheme successfully avoided the "blowup" phenomena, even with potentially unexciting data.
    • Experimental results demonstrated the method's capability for real-time identification of HR response in exercising individuals.
    • The online modeling approach proved effective in capturing the time-varying nature of HR dynamics.

    Conclusions:

    • The developed recursive constrained parameter estimation method offers a robust solution for real-time HR response modeling during exercise.
    • This online modeling technique is vital for enhancing the performance of feedback controllers used in HR regulation during exercise.
    • The findings support the application of this method for optimizing exercise intensity and ensuring subject safety.