Related Experiment Video
Updated: May 15, 2026
08:12
Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
Published on: June 5, 2019
Influence of QRS complex detection errors on entropy algorithms. Application to heart rate variability discrimination
Antonio Molina-Picó1, David Cuesta-Frau, Pau Miró-Martínez
1Technological Institute of Informatics, Polytechnic University of Valencia, Alcoi Campus, Plaza Ferrandiz y Carbonell 2, Alcoi, Spain.
Computer Methods and Programs in Biomedicine
|December 19, 2012
Summary
Signal entropy measures like approximate entropy (ApEn) and sample entropy (SampEn) are sensitive to QRS detection errors in heart rate variability (HRV) analysis. These errors significantly reduce the accuracy of entropy measures, impacting biomedical research findings.
Area of Science:
- Biomedical Engineering
- Cardiovascular Physiology
- Signal Processing
Background:
- Approximate entropy (ApEn) and sample entropy (SampEn) are key metrics in heart rate variability (HRV) analysis.
- Accurate QRS detection is crucial for reliable HRV analysis.
- The impact of QRS detection errors on entropy-based HRV measures is not fully understood.
Purpose of the Study:
- To investigate the influence of QRS detection errors on the performance of ApEn and SampEn in HRV analysis.
- To quantify the degradation in discrimination power of these entropy measures due to ectopic peaks.
- To assess the robustness of ApEn and SampEn against varying levels of QRS misdetections.
Main Methods:
- Utilized the Cardiac Arrhythmia Suppression Trial (CAST) database for experiments.
- Introduced controlled QRS detection errors (spikes) to simulate real-world data imperfections.
- Evaluated the classification performance of ApEn and SampEn under different error rates.
Main Results:
- A 100% classification rate decreased to 75% in the presence of ectopic peaks.
- The discriminating capability of ApEn and SampEn degraded proportionally to the increase in QRS misdetections.
- Segmentation failures occurred in 12.5% of experiments with a 2% error rate and 25% with a 5% error rate.
Conclusions:
- Signal entropy measures (ApEn, SampEn) are highly sensitive to QRS detection errors in HRV.
- QRS detection inaccuracies significantly compromise the reliability and discrimination power of entropy-based HRV metrics.
- Careful QRS detection is essential for accurate biomedical research utilizing entropy measures in HRV analysis.
Related Concept Videos
01:00Detection of Gross Error: The Q Test
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
01:29Disturbances 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...
Arrhythmias are categorized by their speed, rhythm, and origin. A slow heart...
01:25Correlation between ECG and Cardiac Cycle
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...
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...
01:30Factors 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,...
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
01:18Dysrhythmias IV: Characteristics of Bradyarrhythmias
Bradyarrhythmias are cardiac rhythm disorders characterized by a slower-than-normal heart rate, typically defined as fewer than 60 beats per minute. Some of which are discussed here:Sinus BradycardiaSinus bradycardia presents a heart rate lower than 60 beats per minute, with a regular rhythm originating from the SA node. The ECG typically shows normal P waves preceding each QRS complex, a normal PR interval (0.12 to 0.20 seconds), and a normal QRS duration (0.06 to 0.10 seconds).First-Degree AV...
01:28Electrocardiogram Fundamentals
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
An ECG utilizes electrodes on the skin to...
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
An ECG utilizes electrodes on the skin to...