Overview
What this challenge is about.
Build a Python pipeline to detect atrial fibrillation from wearable PPG data, validate with confusion matrices, and earn a verifiable certificate.
The scenario
The wearable maker is positioning the feature as wellness-only (no medical-device claim) — but the medical-affairs team still needs evidence the underlying algorithm is fair across demographics.
The Brief
What you'll do, and what you'll demonstrate.
Build a non-diagnostic AFib-detection pipeline from raw wearable PPG data and validate fairness across demographic strata without claiming medical intent.
Earning criteria — what you'll demonstrate
- Preprocess noisy wearable signals with motion-artifact rejection
- Implement beat detection and RR-interval irregularity metrics
- Evaluate biomedical models with patient-level (not sample-level) splits
- Communicate algorithm limitations to a regulatory-aware stakeholder
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Computational Biology and Health Informatics
Master · General Studies
Strong alignment
This challenge maps to Computational Biology and Health Informatics at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Health Sensing
Apply health sensing to solve real industry problems and demonstrate production-level capability.
- Signal Processing
Apply signal processing to solve real industry problems and demonstrate production-level capability.
- Biomedical Signals
Apply biomedical signals to solve real industry problems and demonstrate production-level capability.
- Fairness Evaluation
Apply fairness evaluation to solve real industry problems and demonstrate production-level capability.
- Python
Write clean, efficient Python for data processing, automation, and backend services.
- Benchmarking
Apply benchmarking to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
Product Manager
Product managers in consumer health who have shipped a non-diagnostic feature understand the regulatory line and ship safely.
This challenge sharpens
- fairness-evaluation
- benchmarking
- health-sensing