Cardiovascular events prediction using artificial intelligence models and heart rate variability
Artificial Intelligence is exponentially evolving into a solution to many of humanity's complex
problems. In this context, healthcare is benefiting from this technology and all its branches to …
problems. In this context, healthcare is benefiting from this technology and all its branches to …
A Deep Learning Model for QRS Delineation in Organized Rhythms during In-Hospital Cardiac Arrest
Background Cardiac arrest (CA) is the sudden cessation of heart function, typically resulting
in loss of consciousness and cessation of pulse and breathing. The electrocardiogram …
in loss of consciousness and cessation of pulse and breathing. The electrocardiogram …
Completing the Cabrera Circle: deriving adaptable leads from ECG limb leads by combining constraints with a correction factor
Objective. We present a concept for processing 6-lead electrocardiography (ECG) signals
which can be applied to various use cases in quantitative electrocardiography. Approach …
which can be applied to various use cases in quantitative electrocardiography. Approach …
[PDF][PDF] Predicting Cardiovascular Events with Machine Learning Models and Heart Rate Variability
Artificial Intelligence (AI) is increasingly becoming a potential answer to many of science's
most challenging problems. In this context, healthcare is using this technology and its …
most challenging problems. In this context, healthcare is using this technology and its …
Machine Learning Models to Predict Cardiovascular Events from Heart Rate Variability Data
Among the diseases known to mankind, cardiovascular diseases remain the deadliest and
most expensive. However, Artificial Intelligence offers new solutions that can help diagnose …
most expensive. However, Artificial Intelligence offers new solutions that can help diagnose …