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Related Concept Videos

Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

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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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Dysrhythmias III: Characteristics of Dysrhythmias01:29

Dysrhythmias III: Characteristics of Dysrhythmias

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Dysrhythmias, also known as arrhythmias, are irregular heart rhythms that result from abnormal electrical activity in the heart, affecting its ability to circulate blood efficiently. Tachyarrhythmias, a subset of dysrhythmias, are characterized by abnormally fast heart rates exceeding 100 beats per minute. Here are some types of tachyarrhythmias with their distinct ECG features:Sinus Tachycardia:Sinus tachycardia presents a regular heart rhythm with an increased rate of 101-180 beats per...
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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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Dysrhythmias II: Classification of Tachyarrhythmias01:28

Dysrhythmias II: Classification of Tachyarrhythmias

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Tachyarrhythmias are a type of dysrhythmia where the heart rate exceeds 100 beats per minute. Here are some common types of tachyarrhythmias:Sinus TachycardiaSinus tachycardia originates from increased impulses from the sinus node, leading to an elevated heart rate. It is often triggered by stress, fever, or exercise.Patients may experience palpitations, a sensation of a racing heart, dizziness, and chest discomfort.Causes and Risk Factors: Common causes include physical exertion, emotional...
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ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias

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Arrhythmia is a condition characterized by an irregular heart rhythm, with ECG changes that differ based on its origin and nature. The types of arrhythmias discussed below include atrial, junctional, and ventricular arrhythmias.Atrial ArrhythmiasPremature Atrial Complexes (PACs): PACs are early atrial beats caused by stress, caffeine, alcohol, electrolyte imbalances, hypoxia, hyperthyroidism, or certain medications (e.g., bronchodilators and decongestants). The ECG shows early P waves with an...
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Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

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Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Efficient Fine Arrhythmia Detection Based on DCG P-T Features.

Rongfang Bie1, Shuaijing Xu1, Guangzhi Zhang1

  • 1College of Information Science and Technology, Beijing Normal University, Beijing, China.

Journal of Medical Systems
|May 29, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient method using geometrical features of electrocardiogram (ECG) PQRST waves and hierarchical clustering for fast and accurate arrhythmia detection from dynamic ECG data.

Keywords:
Abnormal heart beatsArrhythmia detectionClusteringDCGFeature vector

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Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Data Science

Background:

  • Heart disease mortality necessitates advanced detection of abnormal heartbeats.
  • Dynamic electrocardiogram (DCG) monitoring is crucial for assessing heart conditions.
  • Distinguishing rare abnormal heartbeats in large DCG datasets is challenging.

Purpose of the Study:

  • To develop an efficient and accurate method for arrhythmia detection.
  • To leverage geometrical features of DCG PQRST waves for improved analysis.
  • To enhance the performance of hierarchical clustering for identifying abnormal heartbeats.

Main Methods:

  • Extraction of 11 geometrical features from DCG PQRST(P-T) waves.
  • Application of an improved hierarchical clustering algorithm for data analysis.
  • Validation using the MIT-BIH arrhythmia database.

Main Results:

  • The proposed method demonstrates efficient and accurate arrhythmia detection.
  • Hierarchical clustering effectively distinguishes abnormal heartbeats.
  • The approach is validated on established MIT-BIH datasets.

Conclusions:

  • The developed technique offers a fast and precise solution for arrhythmia detection.
  • Geometrical feature analysis combined with hierarchical clustering shows significant promise.
  • This method can aid in the clinical management of heart conditions.