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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.
📆 Spring cohort 2021