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Related Concept Videos

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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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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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 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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Mechanism of Cardiac Arrhythmias01:28

Mechanism of Cardiac Arrhythmias

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Arrhythmias are irregular heart rhythms occurring when the heart's electrical impulses become abnormal. These disturbances can lead to various symptoms, depending on their severity and the underlying cause. Some common factors contributing to arrhythmias include hypoxia, ischemia, electrolyte imbalances, excessive catecholamine exposure, drug toxicity, and muscle overstretching. Arrhythmias can be classified into two main types based on the rate and site of origin of abnormal heart rhythms.
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Dysrhythmias IV: Characteristics of Bradyarrhythmias01:18

Dysrhythmias IV: Characteristics of Bradyarrhythmias

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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...
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An APN model for Arrhythmic beat classification.

Hsiu-Sen Chiang1, Dong-Her Shih1, Binshan Lin1

  • 1Department of Information Management, National Taichung University of Science and Technology, 129, Section 3, Sanmin Road, Taichung City 404, Taiwan, Department of Information Management, National Yunlin University of Science and Technology, 123, Section 3, University Road, Douliu City, Yunlin County, Taiwan, College of Business Administration, BE321, Louisiana State University in Shreveport, Shreveport, LA 71115, USA and Department of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA.

Bioinformatics (Oxford, England)
|February 19, 2014
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Summary
This summary is machine-generated.

This study introduces associative Petri nets (APN) for personalized electrocardiogram (ECG) arrhythmia identification. The novel approach accurately classifies cardiac arrhythmias, showing promise for improved diagnosis and treatment.

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Area of Science:

  • Biomedical Engineering
  • Computer Science

Background:

  • Cardiac arrhythmias pose significant health risks, necessitating accurate identification from ECG recordings.
  • Automated arrhythmia detection is crucial for timely clinical diagnosis and treatment.

Purpose of the Study:

  • To propose a novel method for personalized ECG-arrhythmia-pattern identification using associative Petri nets (APN).
  • To develop a rule-based classification model and reasoning algorithm for ECG arrhythmia classification.

Main Methods:

  • Development of a rule-based classification model utilizing associative Petri nets (APN).
  • Implementation of a reasoning algorithm for APN-based ECG arrhythmia classification.

Main Results:

  • The proposed APN approach demonstrates effective classification of ECG arrhythmias.
  • Performance evaluation on the MIT-BIH arrhythmia database indicates competitive results compared to existing methods.

Conclusions:

  • Associative Petri nets offer a viable and effective tool for personalized ECG-arrhythmia identification.
  • The developed model shows potential for enhancing the accuracy and efficiency of arrhythmia diagnosis.