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Dysrhythmias II: Classification of Tachyarrhythmias01:28

Dysrhythmias II: Classification of Tachyarrhythmias

803
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...
803
Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

5.5K
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 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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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 III: Characteristics of Dysrhythmias01:29

Dysrhythmias III: Characteristics of Dysrhythmias

731
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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Related Experiment Video

Updated: Apr 18, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
06:07

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

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Real-time arrhythmia classification for large databases.

Sandipan Chakroborty, Meru A Patil

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 9, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study presents an efficient arrhythmia classification method using Multi-Section Vector Quantization (MSVQ) for large Electrocardiogram (ECG) data. The technique speeds up processing significantly with minimal accuracy loss, aiding physicians.

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    Area of Science:

    • Biomedical Engineering
    • Signal Processing
    • Medical Informatics

    Background:

    • Large Electrocardiogram (ECG) datasets pose computational challenges for accurate arrhythmia classification.
    • Existing methods may lack efficiency when processing extensive Holter monitoring data.

    Purpose of the Study:

    • To introduce a coarse-to-fine arrhythmia classification technique for efficient processing of large ECG records.
    • To reduce computational complexity without sacrificing classification accuracy.

    Main Methods:

    • Implemented a coarse-to-fine strategy for arrhythmia classification.
    • Utilized Multi-Section Vector Quantization (MSVQ) to reduce beat size and quantize beat numbers.
    • Tested the technique on the MIT-BIH arrhythmia database.

    Main Results:

    • Achieved a computational speed-up factor of 2.2:1 compared to standard techniques.
    • Maintained classification accuracy with a marginal loss of less than 1%.
    • Demonstrated a 2x enhancement in physician throughput for processing large ECG records.

    Conclusions:

    • The proposed MSVQ-based technique offers an efficient solution for large-scale ECG analysis.
    • This method significantly improves processing speed for clinical applications like Holter monitoring.
    • The balance between speed and accuracy makes it valuable for medical professionals.