Background: Accurate interpretation of the electrocardiogram (ECG) remains an essential skill for medical students and junior doctors. While many techniques for teaching ECG interpretation are described, no single method has been shown to be superior.
Purpose: This randomized control trial is the first to investigate whether teaching ECG interpretation using a computer simulator program or traditional teaching leads to improved scores in a test of ECG interpretation among medical students and postgraduate doctors immediately after and 3months following teaching. Participants' opinions of the program were assessed using a questionnaire.
Conclusions: There were no differences in ECG interpretation test scores immediately after or 3months after teaching in the lecture or simulator groups. At present therefore, there is insufficient evidence to suggest that ECG simulator programs are superior to traditional teaching.
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http://dx.doi.org/10.1016/j.jelectrocard.2015.11.005 | DOI Listing |
Am J Nurs
December 2024
Nicole Kupchik is an independent clinical nurse specialist at Nicole Kupchik Consulting in Seattle. Sarah Vance is a critical care facility educator at Trident Medical Center in Charleston, SC. Kupchik also coordinates Strip The authors have disclosed no potential conflicts of interest, financial or otherwise.
Editor's note: This is the next installment in a series on electrocardiogram (ECG) interpretation. Nurses in all settings should know the basics, as medications and physiological changes can cause cardiac arrhythmias. Each article will start with a brief case scenario and an ECG strip and then take you step by step through analyzing the heart rhythm.
View Article and Find Full Text PDFInt J Cardiol
January 2025
Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Padova, Italy. Electronic address:
Iran J Nurs Midwifery Res
November 2024
Department of Child and Maternal Health Nursing, Faculty of Nursing, Jerash University, Jerash, Jordan.
Background: Electrocardiogram (ECG) is considered one of the most frequently carried out diagnostic tests in emergency rooms. To develop and refine the competencies of emergency nurses, it becomes imperative to assess the current level of knowledge and practice among nurses regarding ECG and other diagnostic tests. The study aimed to assess the ECG interpretation competency and its associated factors among emergency nurses in Jordan.
View Article and Find Full Text PDFData Brief
February 2025
Department of Medicine, Division of Cardiovascular Diseases, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
J Electrocardiol
December 2024
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China. Electronic address:
Electrocardiography (ECG) is a widely used, non-invasive, and cost-effective diagnostic method that plays a crucial role in the early detection and management of cardiac conditions. However, the ECG signal is easily disrupted by various noise signals in the real world, leading to a decrease in signal quality and potentially compromising accurate clinical interpretation. With the goal of reducing noise in ECG signals, this research proposes an end-to-end multi-resolution deep learning network with attention mechanism, namely the MrSeNet to perform effective denoising of ECG data.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!