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Related Concept Videos

Turbulent Flow01:24

Turbulent Flow

Turbulent flow is characterized by unpredictable fluctuations in velocity and pressure, which result in a chaotic fluid movement distinct from the orderly patterns of laminar flow. While laminar flow is governed by smooth, parallel layers with minimal mixing, turbulent flow exhibits highly irregular, three-dimensional patterns. This behavior arises due to instabilities in the fluid's velocity profile, and amplifies as the flow velocity increases. Minor disturbances, known as turbulent spots,...
Heart Sounds01:15

Heart Sounds

Heart sounds are generated by the turbulence in blood flow due to the closing of heart valves. These sounds are best perceived slightly away from the valves, where the blood flow disseminates the sound.
Auscultation is the process of listening to these internal body sounds using a stethoscope. The heart produces four types of sounds, but only two—S1 and S2—can usually be heard with a stethoscope.
S1, also known as the "lub" sound, is caused by the closure of atrioventricular (A-V) valves at the...
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...
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures enhance...
Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:
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.
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Related Experiment Video

Updated: Jun 25, 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

Published on: June 27, 2025

Heart rate turbulence denoising using support vector machines.

José Luis Rojo-Alvarez1, Oscar Barquero-Pérez, Inmaculada Mora-Jiménez

  • 1Department of Signal Theory and Communications, University Rey Juan Carlos, 28943 Madrid, Spain. joseluis.rojo@urjc.es

IEEE Transactions on Bio-Medical Engineering
|March 11, 2009
PubMed
Summary

This study introduces signal processing to improve heart rate turbulence (HRT) measurements. Support vector machine (SVM) denoising enables short-term HRT analysis, expanding its use in cardiac disease risk stratification.

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Semi-automated Optical Heartbeat Analysis of Small Hearts
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Semi-automated Optical Heartbeat Analysis of Small Hearts

Published on: September 16, 2009

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Last Updated: Jun 25, 2026

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
14:28

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

Published on: June 27, 2025

Semi-automated Optical Heartbeat Analysis of Small Hearts
12:10

Semi-automated Optical Heartbeat Analysis of Small Hearts

Published on: September 16, 2009

Area of Science:

  • Cardiology
  • Biomedical Signal Processing
  • Medical Informatics

Background:

  • Heart rate turbulence (HRT) is a key risk stratification tool in cardiac disease.
  • Conventional HRT analysis relies on patient-averaged post-PVC tachograms (PPTs), yielding long-term indices and limiting application in patients with fewer PPTs.
  • Noise in HRT signals can obscure valuable diagnostic information.

Purpose of the Study:

  • To develop and evaluate signal processing techniques for denoising isolated post-PVC tachograms (PPTs).
  • To enable the estimation of short-term HRT indices from denoised PPTs.
  • To extend the applicability of HRT analysis to patients with a limited number of available PPTs.

Main Methods:

  • Proposed and tested several HRT denoising procedures.
  • Focused on support vector machine (SVM) estimation for its robustness with limited data.
  • Utilized pacing-stimulated HRT during electrophysiological studies as a low-noise gold standard for validation.

Main Results:

  • Demonstrated significant reduction in bias and variance of HRT measurements in a 24-hour Holter database.
  • SVM denoising successfully yielded short-term HRT measurements.
  • Improved the signal-to-noise ratio for both short-term and long-term HRT measurements.

Conclusions:

  • Support vector machine (SVM) denoising effectively provides short-term heart rate turbulence (HRT) measurements.
  • This signal processing approach enhances the signal-to-noise level of HRT measurements.
  • The method expands the clinical utility of HRT for cardiac risk stratification, especially in patients with limited data.