SleepSensor

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 as well as Innotrek in 2022.

📆 Spring cohort 2021