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Dysrhythmias II: Classification of Tachyarrhythmias01:28

Dysrhythmias II: Classification of Tachyarrhythmias

128
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...
128
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

115
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...
115
ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

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

144
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...
144
Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

1.2K
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...
1.2K
ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

380
Arrhythmias are disturbances in the heart's rhythm that lead to abnormal heartbeats. These irregularities can originate from different parts of the heart and are classified based on their origin and nature.
Types of Arrhythmias
Sinus Node Arrhythmias
Sinus Bradycardia: Originating from the sinoatrial (SA) node, sinus bradycardia involves slower impulses, resulting in a heart rate of less than 60 beats per minute (bpm). Causes include sleep, vagal stimulation, beta-blockers, hypothyroidism,...
380
Pulse rhythm01:30

Pulse rhythm

907
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...
907

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Related Experiment Video

Updated: Aug 29, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

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Arrhythmia Classification Algorithm Based on a Two-Dimensional Image and Modified EfficientNet.

Cui-Fang Zhao1, Wan-Yun Yao1, Mei-Juan Yi1

  • 1College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua 321004, China.

Computational Intelligence and Neuroscience
|September 6, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel arrhythmia classification algorithm using 2D electrocardiogram (ECG) images and a modified EfficientNet model. The method achieves high accuracy in identifying heartbeats, aiding cardiovascular disease diagnosis.

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Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Artificial Intelligence in Healthcare

Background:

  • Arrhythmia classification from electrocardiogram (ECG) signals is crucial for early cardiovascular disease diagnosis.
  • Existing methods often rely on time-domain features of 1D ECG signals, potentially missing complex spatiotemporal characteristics.

Purpose of the Study:

  • To develop an advanced arrhythmia classification algorithm.
  • To leverage the spatiotemporal features of ECG signals by converting them into 2D images.
  • To enhance the EfficientNet model for improved ECG analysis.

Main Methods:

  • Developed a novel method to convert 1D ECG signals into 2D images.
  • Modified the EfficientNet architecture by integrating an attention feature fusion (AFF) module.
  • Replaced the addition operation in the MBConv structure with the AFF module for better feature weighting.

Main Results:

  • The proposed method effectively distinguishes eight types of heartbeats from the MIT-BIH arrhythmia database.
  • Achieved a high classification accuracy of 99.54%.
  • Demonstrated reduced equipment requirements and training time compared to traditional methods.

Conclusions:

  • The 2D ECG image-based arrhythmia classification using modified EfficientNet is highly effective.
  • The integration of AFF module enhances feature representation and classification performance.
  • This approach offers a promising, efficient, and accurate tool for diagnosing cardiovascular diseases.