Track and Understand Your Heart Health Through Stress-Based Risk Analysis
Heart Relief AI is a platform designed to help users monitor stress-related heart risk over time using structured assessments, trend tracking, and mathematical modeling. Our goal is to provide insight into how stress impacts cardiovascular health and help users make informed decisions.
Multi-layer neural networks trained on physiological time-series — HRV, hemodynamic stress indicators, and questionnaire features — output a periodic cardiovascular risk score.
Self-report items on stress, sleep, symptoms, and lifestyle are encoded as feature vectors feeding the model alongside physiological inputs.
Short video samples are processed into HRV and hemodynamic stress signals — the time-series the neural networks are trained on.
A multi-layer neural network outputs a cardiovascular risk score (0–100) at each assessment, banded as Low / Moderate / High and tracked over time.
Every assessment runs the trained neural network on your latest HRV and hemodynamic stress features and stores the periodic risk score to your account, so you can see slope, variance, and direction of change across your physiological time-series.
Heart Relief AI evaluates stress-related inputs and generates a dynamic heart-risk score. Users can track changes over time and identify patterns that may impact cardiovascular health. The system focuses on long-term trends rather than single data points.
Chronic stress is strongly linked to increased cardiovascular risk. By tracking stress patterns and their impact, users can better understand how lifestyle factors influence heart health over time.
Heart Relief AI allows users to monitor their heart-risk score across days, weeks, and months. This helps identify trends and make adjustments that support long-term health.
Heart Relief AI (also known as HeartRelief and Heart Relief) is a platform for stress-based heart risk tracking, heart health tracking, and cardiovascular risk monitoring. It supports preventive heart health by helping users understand stress and heart health trends over time.