ABSTRACT: Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often ...
TSSAA football teams in Division II-AA and DII-AAA will no longer be affected by a success formula after the Board of Control approved a change at its March 4 meeting. The Board eliminated the success ...
Adding a 12-lead ECG to pre-participation screening for athletes finds more cardiovascular problems, but US states should not require it because of cost, lack of expertise, and potential inequities, ...
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 ...
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 ...
Heart disease remains the leading cause of death worldwide, and although electrocardiography (ECG) is critical for diagnosis, interpreting ECG signals requires extensive training. Current machine ...
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