📅 Day 1 – Basics & Health Signal Lab (App – Part 1)
- Intro to medical wearables (ECG, PPG, IMU, SpO₂) & use-cases
- Set up Vibe Code IDE, clone template, run starter app
- Import & clean wearable datasets (file upload, timestamps, basic stats)
- Explore signals (time-series plots, signal explorer)
- Improve signal quality (basic filters, raw vs filtered views)
👉 Outcome: Health Signal Lab v1 – upload, clean, visualize, and filter biosignals.
📅 Day 2 – Features, ML & Health Signal Lab (App – Part 2)
- Heart rate & HRV (peak detection, HR/HRV metrics)
- IMU feature extraction & activity summaries
- Build a simple ML pipeline (features, labels, LogReg/RandomForest)
- Auto “Train Model” + accuracy & confusion matrix in-app
- Generate summary report & mini-project using full pipeline
👉 Outcome: Health Signal Lab v2 – full analytics + basic ML + reporting.
📅 Day 3 – Remote Monitoring & Mini RPM Dashboard
- Intro to Remote Patient Monitoring (RPM) architecture & examples
- Set up Mini RPM Dashboard template in Vibe Code IDE
- Simulate multi-patient HR/SpO₂ streams & data ingestion
- Build live clinician dashboard (patient cards, time-series, auto-refresh)
- Add simple alert rules + discuss ethics, privacy & consent
- Participant demos of both apps
👉 Outcome: Working Mini RPM Dashboard + end-to-end workflow from wearable data → analytics → remote monitoring.
