A quick heart trace taken during a warm-up trot could identify racehorses at risk of cardiac arrhythmias during ...
Artificial intelligence (AI)-based algorithms that use electrocardiogram (ECG) data have high accuracy in predicting ...
Human functioning is increasingly recognized as the third indicator of health, complementing mortality and morbidity. While these indicators describe ...
BACKGROUND: The underlying cause of deaths attributed to acute stimulant (methamphetamine or cocaine) toxicity is poorly ...
The TSSAA Board of Control has eliminated the success formula for Division II-AA and DII-AAA football teams. A new method will establish a minimum of 12 teams in DII-AAA, with the largest schools by ...
Heart rate variability (HRV) represents the physiological variation in the time interval between consecutive heartbeats, reflecting the complex interplay between the autonomic nervous system and ...
Director Jung Hyun-sook of the Seoul Health Screening Center at Gangbuk Samsung Hospital, who saved patients thanks to AI (artificial intelligence) applied to electrocardiogram (ECG) devices, said, ...
Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a new deep learning method that improves the classification accuracy of mixed ...
The rhythm is regular at a rate of 95 beats/min. The QRS complex has a normal duration (0.08 sec) and morphology, with an axis between 0° and +90° (positive QRS complex in leads I and aVF). There is ...
Abstract: Automated electrocardiogram (ECG) classification tasks play a crucial role in clinical but face challenges due to the scarcity of accessible and well-labeled data. ECG data augmentation is ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results