HBM – AI-Powered HRV Tracking & Wearable Health Intelligence Platform
A cross-platform app that streams heart rate and HRV from a Polar H10 sensor and explains stress and recovery.
- Industry
- Built with
- Flutter
- React
- Node.js
The project
HBM (Heart Breath Mind) is a cross-platform mobile app built around the Polar H10 heart rate sensor. It collects heart rate and heart rate variability in real time, shows them on live dashboards and uses AI to explain what the data says about stress and recovery. Researchers and practitioners use it to run live sessions, compare baseline and intervention periods, track sleep, stress and activity, and guide breathing exercises with real-time feedback. We built it with Flutter, React and Node.js.
The challenge
- Wearables capture heart rate and HRV, but users struggled to read what the numbers meant.
- Researchers and practitioners had no simple way to watch stress and recovery live during a session.
- Lifestyle changes were hard to measure without comparing a baseline against an intervention period.
What we built
- A Bluetooth connection to the Polar H10 that streams heart rate and HRV into the app in real time.
- Live dashboards and trend charts for each session, with downloadable reports.
- AI insights that turn the readings into plain stress and recovery recommendations.
- An experiment engine that compares baseline data against intervention data.
- A breathing pacer that guides sessions and reacts to the live readings.
Key features
Polar H10 integration
Pairs with the chest strap and records heart rate and HRV beat by beat.
Live HRV monitoring
Heart rate and HRV update on screen during each live session.
AI insights
Personalized recommendations based on each user's stress and recovery patterns.
Experiment engine
Compares baseline and intervention periods to show the effect of a lifestyle change.
Breathing pacer
Guided breathing sessions with real-time feedback and stress detection.
Reports and trends
Performance trends over time and detailed health reports to download.
