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Related Concept Videos

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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Disturbances in Heart Rhythm01:29

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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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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 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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Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

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Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
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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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Updated: Mar 20, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Short-Term Arrhythmia Prediction Using AI Based on Daily Data From Implantable Devices: Multicenter Prospective

Ignacio Fernández Lozano1, Joaquín Fernández de la Concha2, Javier Ramos Maqueda3,4

  • 1Heart Disease Institute, Hospital Universitario Puerta de Hierro Majadahonda, C. Joaquín Rodrigo, 1, Majadahonda, Madrid, 28222, Spain, 34 911 91 60 00.

JMIR Cardio
|March 18, 2026
PubMed
Summary
This summary is machine-generated.

This study developed an AI model using pacemaker data to predict short-term arrhythmia changes. The model shows reasonable accuracy, offering potential for proactive patient care and improved management of cardiac conditions.

Keywords:
AFAIarrhythmia predictionartificial intelligenceatrial fibrillationmachine learningpacemakerpredictive medicinetelemedicine

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Area of Science:

  • Cardiology
  • Artificial Intelligence
  • Predictive Medicine

Background:

  • Predictive medicine utilizes algorithms for personalized treatment strategies.
  • Artificial intelligence (AI) shows promise in identifying atrial fibrillation (AF) episodes.
  • Current AI models rarely focus on short-term dynamic prediction of arrhythmias.

Purpose of the Study:

  • To evaluate an AI model for predicting short-term onset or worsening of arrhythmias.
  • To assess the utility of remote monitoring data from pacemakers for arrhythmia prediction.

Main Methods:

  • A multicenter prospective observational study involving 314 patients.
  • Analysis of 65,243 data sequences from pacemaker remote monitoring.
  • Training an AI model on 31-day records to predict arrhythmia changes over the subsequent 14 days.

Main Results:

  • The AI model achieved a global sensitivity of 66.4% and specificity of 77.4%.
  • For patients with baseline arrhythmia, sensitivity was 76.8% and specificity was 39.6%.
  • For patients without baseline arrhythmia, sensitivity was 39% and specificity was 81%.

Conclusions:

  • The AI model can predict short-term arrhythmia episode fluctuations using remote monitoring data.
  • The model demonstrated reasonable sensitivity and specificity for arrhythmia prediction.
  • Future improvements are expected with larger datasets including demographic and clinical information.