Sleep Apnea Detection
- A system to detect Apneas using Heart Signals and SpO2.
- Developed an Architecture to detect sleep-related problems (apneas) using signals received from Wearable devices.
- Improved the performance of the algorithm from 68% initially to 80% correct apnea detection and classification.
- Deployed the algorithm in a dockerized platform to be integrated with other systems.