Electrocardiograms (ECG) are universally used to measure the electrical activity of the heart; however, variations in recording techniques and/or subject demographics can affect ECG interpretation. In this study, we investigated variables that are likely to influence ECG metric measurements in cardiovascular research, including recording technique, use of anesthesia, and animal model characteristics. Awake limb lead ECG recordings were collected from adult guinea pigs using a platform ECG system, while recordings in anesthetized animals were performed using both a platform and needle ECG system. We report significant heterogeneities in ECG metric values that are attributed to methodological differences (e.g., ECG lead configuration, ECG recording platform, presence or absence of anesthesia) that persist even within the same cohort of animals. Further, we report that variability in animal demographics is preserved in ECG recordings-with animal age serving as a significant contributor, while sex-specific influences were less pronounced. Methodological approaches and subject demographics should be fully considered when interpreting ECG values in animal models, comparing datasets between studies, or developing artificial intelligence algorithms that utilize an ECG database.
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http://dx.doi.org/10.3389/fphys.2022.925042 | DOI Listing |
BMC Med Educ
December 2024
Department of Pediatrics and Child Health, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Background: Electrocardiography (ECG) interpretation competency is vital to ensure the timely initiation of life-saving treatment for emergent ECG conditions. This competency has not been well-studied among pediatric and child health residents. Hence, the study aimed to determine the competency in ECG interpretation and its predictors among residents at the National University of Ethiopia.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
December 2024
Intelligent System Research Group, Faculty of Computer Science Universitas Sriwijaya, Palembang, 30139, Indonesia.
Background: Automatic classification of arrhythmias based on electrocardiography (ECG) data faces several significant challenges, particularly due to the substantial volume of clinical data involved in ECG signal analysis. The volume of clinical data has increased considerably, especially with the emergence of new clinical symptoms and signs in various arrhythmia conditions. These symptoms and signs, which serve as distinguishing features, can number in the tens of thousands.
View Article and Find Full Text PDFBMC Emerg Med
December 2024
The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, China.
Background: Based on explainable DenseNet model, the therapeutic effects of optimization nursing on patients with acute left heart failure (ALHF) and its application values were discussed.
Method: In this study, 96 patients with ALHF in the emergency department of the Affiliated Hospital of Xuzhou Medical University were selected. According to different nursing methods, they were divided into conventional group and optimization group.
Clin Radiol
December 2024
Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China. Electronic address:
Aim: Coronary artery disease (CAD) is a primary cause of mortality, prompting ongoing research into noninvasive diagnostic modalities. This study aimed to evaluate the diagnostic efficacy of exercise electrocardiography testing (EET) combined with cadmium zinc tellurium cardiac-dedicated single photon emission computed tomography (CZT-SPECT) imaging for CAD.
Materials And Methods: CZT-SPECT and EET were examined in 124 patients aged 20-85 years, followed by coronary angiography to evaluate the sensitivity, specificity, positive predictive value, and negative predictive value of EET/CZT-SPECT alone and in combination.
Pol J Vet Sci
December 2024
Nicolaus Copernicus University Veterinary Clinic, Szosa Bydgoska 13, 87-100 Toruń, Poland.
Proper management of cattle reproduction has a major impact on the efficiency and profitability of dairy production. Ultrasound examination and transrectal palpation or the pregnancy-associated glycoprotein (PAG) test are currently the most commonly used methods for pregnancy diagnosis. However, alternative methods to those mentioned above are constantly being sought in order to minimise stress during the examination, the cost of veterinary services and to reduce the rate of errors in pregnancy diagnosis.
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