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Abstract

Disclosed herein are systems and methods for contactless sleep monitoring. The contactless sleep monitoring system collects patient data from a plurality of sensors, including thermal, radar, and audio sensors. The data is then processed using various signal processing techniques. Machine learning algorithms then convert the thermal data, audio data, and radar data into latent representations, preserving the features of each type of data but enabling them to be combined together for analysis. Finally, the system fuses the representations and then predicts sleep states by performing machine learning analysis on the fused data. Sleep states include sleep stages and sleep conditions.

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