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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

2.5K
An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
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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...
43
ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

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

61
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...
61
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

665
Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin...
665
Pulse rhythm01:30

Pulse rhythm

867
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...
867
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

90
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...
90

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Related Experiment Video

Updated: Aug 6, 2025

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

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Fully digital self-screening for atrial fibrillation with patch electrocardiogram.

Edvard Liljedahl Sandberg1, Sigrun Halvorsen2,3, Trygve Berge4

  • 1Department of Cardiology, Sorlandet Hospital, Postboks 416 Lundsiden, 4604 Arendal, Norway.

Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology
|March 22, 2023
PubMed
Summary
This summary is machine-generated.

A fully digital self-screening for atrial fibrillation (AF) using a patch ECG demonstrated excellent feasibility in individuals at risk for stroke. This method detected undetected AF in 2.2% of participants, highlighting its potential for early intervention.

Keywords:
Atrial fibrillationDigitalSelf-screening

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Area of Science:

  • Cardiology
  • Digital Health
  • Public Health Screening

Background:

  • Atrial fibrillation (AF) is a prevalent arrhythmia linked to significant mortality, morbidity, and healthcare costs.
  • Current guidelines advocate for screening individuals at risk for AF, yet optimal methods and organizational structures remain undefined.
  • Early detection of AF is crucial for preventing stroke and other complications.

Purpose of the Study:

  • To evaluate the feasibility of a novel, fully digital self-screening procedure for AF.
  • To determine the prevalence of previously undetected AF in a at-risk population using continuous patch electrocardiogram (ECG) monitoring.
  • To assess the usability and effectiveness of a digital self-screening tool for AF detection.

Main Methods:

  • A fully digital, continuous self-screening for AF was conducted using a patch ECG device (ECG247 Smart Heart Sensor) in individuals aged 65+ with stroke risk factors in Norway.
  • Participants (N=2118) self-reported clinical data and usability online, receiving digital feedback.
  • The study tracked completion rates, monitoring duration, and AF detection rates.

Main Results:

  • The study enrolled 2118 participants (mean age 70.1 years, 74% women) with a mean CHA2DS2-VASc score of 2.6.
  • A high completion rate of 87.3% (1849 participants) was observed for the ECG self-screening test, with a system usability score of 84.5.
  • Atrial fibrillation was detected in 41 individuals (2.2%), indicating a number needed to screen of 45 to identify one unrecognized case.

Conclusions:

  • The fully digitalized self-screening procedure for AF proved to be highly feasible and effective in detecting undiagnosed cases within a population at risk for stroke.
  • The number needed to screen (45) suggests a practical approach for identifying individuals with AF.
  • Further randomized controlled trials with long-term follow-up are warranted to ascertain if this self-screening approach can effectively reduce AF-related complications.