Wearable Health Data Platform for Longitudinal Vital-Sign Analysis
Backend APIs, validation and interactive history views for a platform processing multiple physiological measurements from wearable devices.
Context
The platform received physiological measurements from wearable devices and needed to present meaningful history to users and care teams. Measurements included ECG, PPG, blood pressure, heart rate, SpO₂, HRV, systolic pressure and diastolic pressure.
Engineering challenges
The work required more than storing numeric values. The application needed to:
- validate measurements and device payloads;
- enforce authorisation consistently;
- keep measurement timestamps and user context accurate;
- serve historical views efficiently;
- support daily, weekly and monthly graphs;
- handle incomplete or unusual readings safely.
Delivery
I worked across backend APIs, frontend behaviour, validations and authorisation. The implementation separated transport validation from domain rules and used purpose-built query paths for historical graphs rather than repeatedly loading full measurement histories.
Result
The platform gained a consistent pipeline from device data to user-facing analysis, with navigable history across multiple time ranges and physiological metrics.
Confidentiality
This case study is intentionally anonymised and describes only the engineering scope that can be shared publicly.