[HTML][HTML] Artificial intelligence for detection of cardiovascular-related diseases from wearable devices: a systematic review and meta-analysis
Purpose Several artificial intelligence (AI) models for the detection and prediction of
cardiovascular-related diseases, including arrhythmias, diabetes, and sleep apnea, have …
cardiovascular-related diseases, including arrhythmias, diabetes, and sleep apnea, have …
Automatic premature ventricular contraction detection using deep metric learning and KNN
J Yu, X Wang, X Chen, J Guo - Biosensors, 2021 - mdpi.com
Premature ventricular contractions (PVCs), common in the general and patient population,
are irregular heartbeats that indicate potential heart diseases. Clinically, long-term …
are irregular heartbeats that indicate potential heart diseases. Clinically, long-term …
[HTML][HTML] Artificial intelligence opportunities in cardio-oncology: Overview with spotlight on electrocardiography
Cardiovascular disease is a leading cause of death among cancer survivors, second only to
cancer recurrence or development of new tumors. Cardio-oncology has therefore emerged …
cancer recurrence or development of new tumors. Cardio-oncology has therefore emerged …
A Systematic Review on the Use of Consumer-Based ECG Wearables on Cardiac Health Monitoring
This systematic review aims to summarize the consumer wearable devices used for
collecting ECG signals, explore the models or algorithms employed in diagnosing and …
collecting ECG signals, explore the models or algorithms employed in diagnosing and …
Big data in electrophysiology
The quantity of data produced and captured in medicine today is unprecedented.
Technological improvements and automation have expanded the traditional statistical …
Technological improvements and automation have expanded the traditional statistical …