Undae Science

Sleep disorders are very common and represent an enormous burden for society. To improve diagnosis and monitor the effectiveness of treatments, new methods of recording sleep are needed.

SleepSensor offers a three-level solution:

• A non-intrusive sensor-based system for acquiring physiological data during sleep.
• Machine learning algorithms for signal processing, feature extraction and automatic classification of sleep and wake stages.
• Machine learning algorithms for analysing patient data.

Shanaz has been awarded an Innosuisse grant worth 400,000.- in 2022, and an Innotrek grant worth 100,000.- in 2021.

Discover their website here

📆 Spring cohort 2021