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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...

Disturbances in Heart Rhythm

Disturbances 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...

Mechanism of Cardiac Arrhythmias

Mechanism of Cardiac Arrhythmias

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.

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

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

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...

Dysrhythmias III: Characteristics of Dysrhythmias

Dysrhythmias III: Characteristics of Dysrhythmias

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 minute.

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

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
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Related Experiment Video

Updated: Jun 18, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

Unsupervised feature selection in cardiac arrhythmias analysis.

J L Rodriguez-Sotelo¹, D Cuesta-Frau, D Peluffo-Ordonez

¹Faculty of Electrical and Electronic Engineering, Universidad Nacional de Colombia sede Manizales, Colombia. jlrodriguezso@unal.edu.co

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 8, 2009

Summary

Detecting cardiac arrhythmias in long-term electrocardiograms is challenging. This study introduces an automatic method for selecting heartbeat features to improve arrhythmia detection accuracy.

Related Experiment Videos

Last Updated: Jun 18, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

Area of Science:

Biomedical Engineering
Cardiology
Signal Processing

Background:

Long-term electrocardiograms (ECGs) contain vast data, making cardiac arrhythmia detection difficult due to irrelevant information.
Current methods often use redundant heartbeat features, degrading the performance of clustering and classification algorithms.
Limited research exists on optimizing the type and number of features for arrhythmia detection.

Purpose of the Study:

To develop and assess an automatic method for selecting relevant heartbeat features.
To enhance the accuracy and efficiency of cardiac arrhythmia detection from long-term ECGs.
To address the limitations of feature selection in existing arrhythmia detection algorithms.

Main Methods:

An automatic feature selection method for heartbeat analysis was developed.
The method was evaluated using real ECG signals from the MIT database.
Performance was compared against common features used in prior studies.

Main Results:

The proposed automatic feature selection method effectively identifies relevant heartbeat characteristics.
The method demonstrates potential for improving the performance of arrhythmia detection algorithms.
Redundant features were successfully minimized, leading to more efficient data processing.

Conclusions:

Automatic selection of heartbeat features is crucial for accurate and efficient cardiac arrhythmia detection.
The developed method offers a promising approach to overcome feature redundancy issues in ECG analysis.
This technique can enhance the reliability of identifying clinical events in long-term monitoring.