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Related Concept Videos

Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

5.5K
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.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
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Pulse rhythm01:30

Pulse rhythm

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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
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Regulation of Heart Rates01:31

Regulation of Heart Rates

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The regulation of heart rate is a complex process controlled by the autonomic nervous system (ANS), hormonal influences, and intrinsic cardiac mechanisms. The ANS has two main components: the sympathetic nervous system (SNS) and the parasympathetic nervous system (PNS).
The SNS increases heart rate through the release of norepinephrine and epinephrine, which act on beta-1 adrenergic receptors in the heart. This action increases the rate of depolarization in the sinoatrial (SA) node, the heart's...
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Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

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Arrhythmia or dysrhythmia refers to an abnormal heart rhythm caused by a defect in the heart's conduction system. It can cause the heart to beat irregularly, too quickly, or too slowly, leading to symptoms like chest pain, shortness of breath, and fainting. Factors such as stress, caffeine, alcohol, nicotine, cocaine, certain drugs, congenital defects, diseases, and electrolyte abnormalities can trigger arrhythmias.
Arrhythmias are categorized by their speed, rhythm, and origin. A slow heart...
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Cardiac Output I:Effect of Heart Rate on Cardiac Output01:19

Cardiac Output I:Effect of Heart Rate on Cardiac Output

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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.
Effect of Heart Rate on Cardiac Output
Cardiac output adapts to metabolic demands during stress, physical activity, or illness. The autonomic nervous system regulates heart rate via the sinoatrial node. The parasympathetic nervous system decreases heart...
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Decreased pulse rate01:14

Decreased pulse rate

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Bradycardia is a medical condition in which the heart rate is slower than normal. It occurs when the heart's natural pacemaker, the sinus node, generates slower electrical impulses than the standard rhythm. In adults, bradycardia is diagnosed when the pulse rate falls below 60 beats per minute, indicating a deviation from the normal heart rate range.
There are specific risk factors that can elevate the likelihood of developing bradycardia. Advanced age is a significant factor, with...
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Related Experiment Video

Updated: Apr 27, 2026

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
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Streaming updates for heart rate variability algorithms.

Stergios Stergiou, Rajalakshmi Balakrishnan

    IEEE Transactions on Bio-Medical Engineering
    |June 24, 2014
    PubMed
    Summary

    This study introduces new streaming algorithms for calculating heart rate variability (HRV) in real time. These efficient methods enable faster HRV analysis, reduce power consumption on embedded systems, and allow for previously impossible real-time metric computations.

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    Area of Science:

    • Biomedical Engineering
    • Physiological Monitoring
    • Signal Processing

    Background:

    • Heart rate variability (HRV) reflects autonomic nervous system activity and is crucial for assessing cardiac health.
    • Traditional HRV analysis methods are not optimized for real-time processing, limiting applications in continuous monitoring.
    • Nonstationary heart rate signals require advanced algorithms for accurate, episodic event detection.

    Purpose of the Study:

    • To develop and evaluate streaming algorithms for popular HRV quantification methods.
    • To enable real-time HRV analysis on embedded systems.
    • To enhance the efficiency and capabilities of ambulatory cardiac monitoring.

    Main Methods:

    • Developed streaming algorithms for standard HRV quantification techniques.
    • Focused on maximizing the reuse of previously computed information.
    • Ensured algorithms do not alter the output of established HRV metrics.

    Main Results:

    • Achieved speedups exceeding two orders of magnitude for typical HRV analysis scenarios.
    • Demonstrated significant reductions in power consumption on embedded systems.
    • Enabled real-time computation of HRV metrics previously not feasible.

    Conclusions:

    • Streaming algorithms offer a viable solution for real-time HRV analysis.
    • The proposed methods enhance the efficiency and expand the application scope of ambulatory HRV monitoring.
    • Optimized HRV computation on embedded systems can lead to breakthroughs in personalized cardiac health management.