Hypertension detection
2 papers with code • 1 benchmarks • 1 datasets
Detection of hypertension (high blood pressure) using vital signals, such as ECG, PPG, etc.
Most implemented papers
HyMNet: a Multimodal Deep Learning System for Hypertension Classification using Fundus Photographs and Cardiometabolic Risk Factors
Our MMDL system uses RETFound, a foundation model pre-trained on 1. 6 million retinal images, for the fundus path and a fully connected neural network for the age and gender path.
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals
Although some studies suggest a relationship between blood pressure and certain vital signals, such as Photoplethysmogram (PPG), reliable generalization of the proposed blood pressure estimation methods is not yet guaranteed.