Cardiac research · FILS, POLITEHNICA Bucharest

Catch heart sclerosis years before it has symptoms.

Pulsana is a research study built around a small wrist bracelet and an AI model that watches your heart rate variability while you go about your day.

What you'll be using

Three parts, one pipeline

A Bangle.js 2 smartwatch, worn on the wrist.

Your phone pulls the readings off the bracelet over Bluetooth.

An XGBoost model looks for early autonomic patterns.

Why this matters

You can't reasonably repeat an MRI or ECG every week — and most people only book one once something already feels wrong.

Tests like echocardiography, MRI, and biomarker panels are accurate, but require a hospital visit.
Most people book that visit once symptoms already appear.

A regular bracelet quietly tracks your pulse and movement in the background — no appointment needed.
It watches continuously, so it can flag early changes while you still feel completely fine.

Data & privacy

Your report is generated on your phone.

Bracelet → phone → report, generated locally every time. Sharing with the research server is separate, and always under your control.

Why join

A personal report on your heart-rate variability.

The bracelet and app work outside the study too.

Every anonymized recording improves the model.

Behind the project

Pulsana (PulseWatch AI) is developed by students at FILS, POLITEHNICA Bucharest.

Student researcher — FILS, POLITEHNICA Bucharest

Student researcher — FILS, POLITEHNICA Bucharest

Faculty supervisor — FILS, POLITEHNICA Bucharest

It takes about five minutes to sign up.