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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.
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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.
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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.
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An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
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Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
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Artifact Correction in Short-Term HRV during Strenuous Physical Exercise.

Aleksandra Królak1, Tomasz Wiktorski2, Magnus Friestad Bjørkavoll-Bergseth3

  • 1Institute of Electronics, Lodz University of Technology, 93-005 Lodz, Poland.

Sensors (Basel, Switzerland)
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Summary

This study introduces an automated algorithm for correcting artifacts in heart rate variability (HRV) data from personal monitoring devices. The new method effectively handles more artifacts than existing solutions with minimal impact on HRV measures.

Keywords:
HRVartifactbicycle racecorrectionheart rate variabilitypersonal monitoring devicesmartwatch

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Area of Science:

  • Cardiovascular physiology
  • Biomedical signal processing
  • Wearable technology

Background:

  • Heart rate variability (HRV) analysis is crucial for detecting health issues.
  • Current HRV analysis often requires controlled conditions and manual artifact correction.
  • The rise of personal monitoring devices (PMDs) enables continuous HRV analysis in real-world settings.

Purpose of the Study:

  • To develop an automated artifact correction algorithm for real-life HRV data.
  • To minimize the impact of artifact correction on HRV measures.
  • To improve artifact handling capabilities compared to existing methods.

Main Methods:

  • Development of a novel automated artifact correction algorithm.
  • Validation using two datasets: a recreational bicycle race and a laboratory setting.
  • Utilized data from GPS watches (PMDs) paired with chest straps and power sensors.

Main Results:

  • The proposed algorithm corrects more artifacts than existing solutions without manual intervention or parameter tuning.
  • Introduced error in HRV measures for peak correction and short gaps is comparable to state-of-the-art methods.
  • The algorithm demonstrates better curve shape matching to ground truth for longer gaps compared to cubic interpolation.

Conclusions:

  • The developed algorithm offers a promising solution for automated artifact correction in real-life HRV data.
  • It shows potential for improving the reliability of HRV analysis from personal monitoring devices.
  • Further development may enhance performance for longer data gaps.