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Related Concept Videos

Pulse rhythm01:30

Pulse rhythm

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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
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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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Electrocardiogram01:29

Electrocardiogram

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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.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
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Disturbances in Heart Rhythm01:29

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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.
Arrhythmias are categorized by their speed, rhythm, and origin. A slow heart...
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Special considerations while measuring pulse01:13

Special considerations while measuring pulse

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Assessing a patient's pulse is a fundamental skill in healthcare, but certain situations require special attention:
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Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

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Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
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Related Experiment Video

Updated: Nov 3, 2025

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
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Autoencoder-Based Extrasystole Detection and Modification of RRI Data for Precise Heart Rate Variability Analysis.

Koichi Fujiwara1, Shota Miyatani2, Asuka Goda2

  • 1Department of Material Process Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8601, Japan.

Sensors (Basel, Switzerland)
|June 2, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel framework using autoencoders to detect and modify ectopic heartbeats, improving the accuracy of heart rate variability analysis for health monitoring.

Keywords:
RRI dataautoencoderextrasystoleheart rate variability analysismachine learning

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Area of Science:

  • Cardiovascular physiology
  • Biomedical engineering
  • Machine learning in healthcare

Background:

  • Heart rate variability (HRV) analysis is crucial for autonomous health evaluation.
  • Arrhythmias like premature ventricular contractions (PVC) and premature atrial contractions (PAC) distort HRV metrics.
  • Accurate HRV analysis requires appropriate modification of ectopic R-R intervals (RRIs).

Purpose of the Study:

  • To propose a unified framework for detecting and modifying ectopic RRIs caused by PVC and PAC.
  • To enhance the accuracy of heart rate variability analysis in the presence of common arrhythmias.
  • To develop a real-time system for reliable health monitoring.

Main Methods:

  • Utilized an autoencoder (AE) for real-time ectopic RRI detection (AED).
  • Employed a denoising autoencoder (DAE) to modify detected ectopic RRIs (DAEM).
  • Applied the framework to real-world RRI data containing PVC and PAC.

Main Results:

  • AED achieved 93% sensitivity and a low false positive rate (0.08/hour).
  • DAEM significantly reduced root mean squared error: 31% for PVC, 73% for PAC.
  • The framework successfully suppressed false positives in an epileptic seizure dataset.

Conclusions:

  • The proposed AE/DAE framework offers accurate detection and modification of ectopic RRIs.
  • This system can significantly improve the reliability of HRV-based health monitoring.
  • The framework shows potential for advanced medical sensing systems.