Wearable sensor platforms using Qt in the medical and sports fitness industry
summary
A dedicated optical heart‑rate device called PulseOn achieves chest‑strap accuracy by using multi‑wavelength sensors and offloading heavy signal processing to a Qt companion app, running on desktop, Android, iOS or embedded boards (Intel Edison). Development uses a Cortex‑M3 on the device, Qt Quick on the companion, and a homemade encrypted crash/analytics pipeline. Expect nasty Bluetooth compatibility workarounds, version fixes across Qt 5.2–5.5, and surprising user demographics: 70% male, median age 43 and Cortex M3 with Qt companion on Edison/Android/iOS.
AI-written summary · about
chapters (9)
- 0:00The wearable market trend
- 1:34Optical heart rate monitoring
- 3:48Engineering the pulse sensor
- 6:28Developing the software stack
- 8:20Scientific challenges
- 10:41Business and analytics
- 13:28Revisiting the target audience
- 16:04Bluetooth and Qt integration
- 19:54Demo and conclusion
related talks
43mIoT with Bluetooth and Qt: Wirelessly Connected
35mLeveraging IoT Biometrics and Zephyr RTOS for Neonatal Nursing in Uganda
02mHighlights - Wearables Gone Wild
48mRecoverMonitor: Edge-enabled Open-source Wearable Devices for Monitoring Healthcare Remote Patient Recovery with Precision and Efficiency
36mEnd to end IoT with Dart and Flutter
52mHealthcare for the Elderly Using the IoT
54mSecuring Your In-Ear-Fitness Coach: Challenges in Hardening Next Generation Wearables
06mEvery Byte Matters: Traffic Analysis of BluetoothWearable Devices