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Related Concept Videos

Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

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,...
Regulation of Heart Rates01:31

Regulation of Heart Rates

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...
Cardiac Output I:Effect of Heart Rate on Cardiac Output01:19

Cardiac Output I:Effect of Heart Rate on Cardiac Output

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 rate...
Dysrhythmias III: Characteristics of Dysrhythmias01:29

Dysrhythmias III: Characteristics of Dysrhythmias

Dysrhythmias, also known as arrhythmias, are irregular heart rhythms that result from abnormal electrical activity in the heart, affecting its ability to circulate blood efficiently. Tachyarrhythmias, a subset of dysrhythmias, are characterized by abnormally fast heart rates exceeding 100 beats per minute. Here are some types of tachyarrhythmias with their distinct ECG features:Sinus Tachycardia:Sinus tachycardia presents a regular heart rhythm with an increased rate of 101-180 beats per minute.
Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

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...
Variability: Analysis01:11

Variability: Analysis

Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...

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Erratum: <b>Erratum to:</b> 2021 ISHNE / HRS / EHRA / APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology / Heart Rhythm Society / European Heart Rhythm Association / Asia Pacific Heart Rhythm Society.

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Related Experiment Video

Updated: May 7, 2026

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
08:12

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Published on: June 5, 2019

Heart rate variability.

Iwona Cygankiewicz1, Wojciech Zareba

  • 1Department of Electrocardiology, Medical University of Lodz, Lodz, Poland.

Handbook of Clinical Neurology
|October 8, 2013
PubMed
Summary

Heart rate variability (HRV) assessment aids in diagnosing autonomic dysfunction and predicting outcomes in neurological conditions. Altered HRV also indicates cardiovascular risk in these patients.

Area of Science:

  • Neurology
  • Cardiology
  • Autonomic Neuroscience

Background:

  • Heart rate variability (HRV) reflects autonomic nervous system activity and is a known cardiovascular risk marker.
  • Growing interest exists in using HRV for diagnosing autonomic impairment and predicting prognosis in neurological disorders.
  • Both simple and advanced HRV analyses can detect early autonomic dysfunction in neurological diseases.

Purpose of the Study:

  • To review the clinical and prognostic utility of HRV analysis in various neurological conditions.
  • To highlight the role of HRV in assessing autonomic involvement and cardiovascular risk.

Main Methods:

  • Review of clinical and prognostic applications of HRV analysis.
  • Inclusion of time, frequency domain, and nonlinear HRV analysis methods.
Keywords:
Parkinson's diseasediabetesheart rate variabilitymultiple sclerosismuscular dystrophyneuropathyprognosisstroke

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Autonomic Function Following Concussion in Youth Athletes: An Exploration of Heart Rate Variability Using 24-hour Recording Methodology
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  • Examination of HRV in diabetes, stroke, multiple sclerosis, muscular dystrophies, Parkinson's disease, and epilepsy.
  • Main Results:

    • HRV analysis, including advanced methods, effectively detects early autonomic impairment in neurological disorders.
    • Altered HRV parameters are associated with increased cardiovascular risk, including sudden cardiac events, in neurological patients.

    Conclusions:

    • HRV is a valuable tool for assessing autonomic function and cardiovascular risk in patients with neurological diseases.
    • HRV analysis offers significant clinical and prognostic insights across a spectrum of neurological conditions.