with and without use of a standised ECG criteria tool. Methods Physicians were asked to interpret 40 ECGs (28 normal ECGs from college athletes randomised with 12 abnormal ECGs from individuals with ...

The most important aims are to prevent physiological changes in the athlete being erroneously attributed to heart disease, or signs of life-threatening cardiovascular conditions being dismissed as a ...

If you wear a fitness tracker, you've likely seen a stat labeled "HRV" pop up on your screen. But what does it mean, and does ...

In this paper, we propose a novel key generation approach that extracts keys from real-valued ECG features with high reliability and entropy in mind. Our technique, called interval optimized mapping ...

Abstract: ECG databases are usually highly imbalanced due to the abundance of Normal ECG and scarcity of abnormal cases. As such, deep learning classifiers trained on imbalanced datasets usually ...

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9. Myocardial Infarction Associated With Percutaneous Coronary Intervention (Type 4a Myocardial Infarction) e629 10. Stent/Scaffold Thrombosis Associated With Percutaneous Coronary Intervention (Type ...

Healthcare providers usually consider a normal ratio to be below 5:1. A very good ratio would be 3.5:1 or lower. When your total cholesterol is over 200 mg/dL, you may be at higher risk of heart ...

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