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Related Concept Videos

Regulation of Stroke Volume01:27

Regulation of Stroke Volume

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The regulation of stroke volume, which is the amount of blood the heart pumps out during each heartbeat, is critical for maintaining a healthy circulatory system. Stroke volume is influenced by three main factors: preload, contractility, and afterload.
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
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Cardiac Output and Stroke Volume01:11

Cardiac Output and Stroke Volume

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Cardiac output (CO) is an integral aspect of human physiology, reflecting the heart's efficiency and responsiveness to the body's needs. It represents the volume of blood that the left or right ventricle ejects into the aorta or pulmonary trunk each minute. The CO is calculated by multiplying the heart rate (HR)—the number of heartbeats per minute—by the stroke volume (SV)—the amount of blood pumped out with each heartbeat.
In an average resting adult male, the typical 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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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.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
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Cardiac Output II: Effect of Stroke Volume on Cardiac Output01:22

Cardiac Output II: Effect of Stroke Volume on Cardiac Output

3.5K
Cardiac output (CO), the amount of blood the heart pumps per minute, is a parameter in cardiovascular physiology determined by stroke volume and heart rate. Stroke volume, the amount of blood pushed from one of the ventricles per heartbeat, is influenced by preload, afterload, and contractility.
Preload
Preload refers to the initial elongation of the cardiac myocytes before contraction and is related to the volume of blood filling the heart at the end of diastole, or end-diastolic volume. The...
3.5K
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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Related Experiment Video

Updated: Feb 7, 2026

Gathering Self-Initiated Rat Behavioral Data to Characterize Post-Stroke Deficits
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Heart Rate Variability as a Biomarker for Predicting Stroke, Post-stroke Complications and Functionality.

Ty Lees1,2,3, Fatima Shad-Kaneez2,3, Ann M Simpson2,3

  • 1Neuroscience Research Unit, School of Life Sciences, University of Technology Sydney, Broadway, NSW, Australia.

Biomarker Insights
|July 25, 2018
PubMed
Summary

Heart rate variability (HRV) can predict stroke and its complications. Time- and frequency-domain HRV parameters are key for stroke prediction and assessing post-stroke function, with potential for non-linear parameters too.

Keywords:
HRVHeart Rate VariabilityStrokebiomarker

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Area of Science:

  • Cardiology
  • Neurology
  • Biomedical Engineering

Background:

  • Heart rate variability (HRV) is a non-invasive measure of autonomic nervous system function.
  • Its dynamic nature offers potential for predicting, monitoring, and managing stroke and its complications.

Purpose of the Study:

  • To review and critique recent applications of HRV in stroke diagnosis and management.
  • To identify areas for future research in HRV and stroke.

Main Methods:

  • Systematic literature search of MEDLINE, CINAHL, and OVID MEDLINE databases.
  • Initial screening by title, followed by full-text critical appraisal for final inclusion.
  • Review focused on studies investigating HRV in stroke diagnosis and management.

Main Results:

  • 22 studies were included in the systematic review.
  • Time- and frequency-domain HRV parameters show utility in predicting incident stroke.
  • HRV parameters also predict post-stroke complications and functionality, with non-linear parameters showing promise.

Conclusions:

  • HRV parameters demonstrate potential as biomarkers for stroke and post-stroke outcomes.
  • Future research should explore non-linear and novel HRV parameters.
  • Integration of hybrid HRV parameters and advanced modeling techniques is recommended.