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Classifying ECGs as normal or abnormal The goal of ECG interpretation in athletes is to classify the ECG as: (1) ‘normal’—no further evaluation needed or (2) ‘abnormal’—further evaluation needed.
The QRS complexes have a normal duration (0.08 sec) and morphology. Therefore, the initial rhythm is atrial fibrillation. The atrial fibrillation abruptly terminates after the first four QRS complexes ...
Background and objective Prior studies have suggested that patients with premature ventricular complexes (PVCs) may have an ...
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News-Medical.Net on MSNCan your athletic past raise your risk for atrial fibrillation?Elite retired rowers face a nearly threefold increased risk of atrial fibrillation compared to the general population, driven ...
Lipomatous Hypertrophy of the Atrial Septum & Lipoma The interatrial septum largely consists of an invagination of the atrial roof and contains epicardial fat. This fat is the source of the entity ...
The past 12 months mark a milestone year for the discipline of sports and exercise cardiology.We have seen the publication of two major guideline documents for athletes: the 2025 American Heart Associ ...
Background and Purpose— We evaluated the association between electrocardiographic left atrial abnormality (ECG-LAA) and ischemic stroke, especially whether ECG-LAA provides additional prognostic ...
Together, they can take an EKG if the user presses the dial with his finger for about 30 seconds. Among other functions, the watch is supposed to detect signs of atrial fibrillation, a type of ...
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Verywell Health on MSNEverything You Need to Know About ATTR-CMMedically reviewed by Jeffrey S. Lander, MD ATTR-CM is a rare medical condition that stands for transthyretin amyloid ...
In this paper we present the design of a low-power on-chip sensor signal processing system which analyzes electrocardiogram (ECG) data for signs of atrial fibrillation. By optimizing an artificial ...
With the popularity of wireless techniques and portable devices, continuous and real-time monitoring patient’s health status by collecting physiological signals is becoming more popular. Data mining ...
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