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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.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
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Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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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.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
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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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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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ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

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An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
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Pulse01:16

Pulse

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When the heart pumps blood out, arterial elastic fibers play a crucial role in sustaining a high-pressure gradient. They expand to accommodate the received blood and then recoil - a process known as the pulse that can be either manually palpated or electronically quantified. Despite a reduction in its effect with increased distance from the heart, elements of the pulse's systolic and diastolic components persist, observable even at the arteriole level.
The pulse serves as a clinical...
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Related Experiment Video

Updated: Mar 29, 2026

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
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Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

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Dynamic heart rate estimation using principal component analysis.

Yong-Poh Yu1, P Raveendran2, Chern-Loon Lim3

  • 1Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia ; richieyyp@yahoo.com.

Biomedical Optics Express
|November 25, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for estimating heart rate from facial videos using principal component analysis (PCA). The technique accurately captures dynamic heart rate variations with minimal video duration, offering a computationally efficient alternative.

Keywords:
(100.0100) Image processing(100.2960) Image analysis(170.3880) Medical and biological imaging

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Area of Science:

  • Biomedical Engineering
  • Computer Vision
  • Physiological Monitoring

Background:

  • Remote photoplethysmography (rPPG) enables non-contact heart rate estimation.
  • Accurate dynamic heart rate monitoring is crucial for various health applications.
  • Existing methods may require significant computational resources or specific video conditions.

Purpose of the Study:

  • To develop a computationally efficient method for dynamic heart rate estimation from facial videos.
  • To identify the optimal video duration for accurate heart rate readings.
  • To validate the proposed method against a commercial heart rate monitor.

Main Methods:

  • Facial images were captured from video sequences of eight subjects with dynamic heart rates (81-153 BPM).
  • Principal Component Analysis (PCA) was employed to extract blood volume pulses (BVP) for heart rate estimation.
  • The shortest video duration yielding the least correlated principal components (PCs) was determined for optimal accuracy.

Main Results:

  • The proposed method successfully estimated dynamic heart rate readings.
  • The method demonstrated lower computational requirements compared to existing techniques.
  • Mean absolute error and standard deviation of errors were 2.18 BPM and 1.71 BPM, respectively, against a Polar heart rate monitor.

Conclusions:

  • Facial video analysis using PCA provides an accurate and computationally efficient approach for dynamic heart rate monitoring.
  • The method's accuracy is linked to optimizing video duration based on principal component correlation.
  • This technique offers a promising non-contact solution for physiological monitoring.