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Example of ventricular tachycardia (complexity level 4) obtained via AECG in one cat from the HCM group.
Source publication
The utility of ambulatory electrocardiography (AECG) to evaluate cats with subclinical hypertrophic cardiomyopathy (HCM) for arrhythmias and heart rate variability (HRV) is not well defined but may provide information regarding risk stratification. This prospective study used AECG to evaluate ectopy and HRV in subclinical HCM cats compared to healt...
Citations
... Doctors usually use several methods to diagnose cardiac arrhythmia, including: ECG or Holter monitor (Kolekar et al. 2022), event recorder (Akca et al. 2022), echocardiography (Singh et al. 2022), implantable event monitor (Scrocco et al. 2022), stress test (Walker et al. 2022), tilt table test (Rodriguez 2022), and electrophysiological mapping test (O'Shea et al. 2022). Each of these tests are for a specific type of cardiac arrhythmia, but the most common test used in this study is ECG (Anand et al. 2022;Król-Józaga 2022;Kumar and Sai 2022;Rahul and Sharma 2022b). ...
There have been many connections between medical science and artificial intelligence in recent years. Many problems arise with the integrity of communication. Cardiac arrhythmia, carried out using artificial intelligence methods, is one of the most dangerous diseases in the field of prevention. Topics introduced in artificial intelligence are the automatic selection of balancing and classification algorithms. In this study, metrics for machine learning algorithm selection are presented. The first problem is the problem of choosing the best balancing algorithm to balance the data sets, introduced as triangle rate (TR). The second issue to be studied is selecting the best automatic classification algorithm. The third action was to use a scoring algorithm to predict sinus and non-sinus arrhythmias. The heptagonal reinforcement learning (HRL) achieved results competitive with standard algorithms by combining three types of algorithms. The data used in this study was a 12-lead electrocardiogram (ECG) database of arrhythmias. The number of patients examined in this dataset is 10,646. The HRL algorithm has improved the previous algorithms by 5%, achieving 86% cardiac arrhythmia prediction.
... The total numbers of supraventricular and ventricular ectopic beats were recorded. Additionally, supraventricular and ventricular arrhythmias were classified based on a complexity scale: 0 = no arrhythmias present, 1 = only single premature complexes, 2 = couplets, 3 = triplets, or 4 = ≥ 4 consecutive ectopic beats 35,36 . Ventricular arrhythmias were classified based on the instantaneous heart rate (HR) as premature (HR ≥ 160), accelerated idioventricular (HR = 100-159), or escape (HR ≤ 99 bpm) complexes. ...
Autoantibodies to desmoglein‑2 have been associated with arrhythmogenic right ventricular cardiomyopathy (ARVC) in people. ARVC is a common disease in the Boxer dog. The role of anti‑ desmoglein‑2 antibodies in Boxers with ARVC and correlation with disease status or severity is unknown. This prospective study is the first to evaluate dogs of various breeds and cardiac disease state for anti‑desmoglein‑2 antibodies. The sera of 46 dogs (10 ARVC Boxers, 9 healthy Boxers, 10 Doberman Pinschers with dilated cardiomyopathy, 10 dogs with myxomatous mitral valve disease, and 7 healthy non‑Boxer dogs) were assessed for antibody presence and concentration via Western blotting and densitometry. Anti‑desmoglein‑2 antibodies were detected in all dogs. Autoantibody expression did not differ between study groups and there was no correlation with age or body weight. In dogs with cardiac disease, there was weak correlation with left ventricular dilation (r = 0.423, p = 0.020) but not left atrial size (r = 0.160, p = 0.407). In ARVC Boxers there was strong correlation with the complexity of ventricular arrhythmias (r = 0.841, p = 0.007) but not total number of ectopic beats (r = 0.383, p = 0.313). Anti‑desmoglein‑2 antibodies were not disease specific in the studied population of dogs. Correlation with some measures of disease severity requires further study with larger populations.
