The Combination of Topological Data Analysis and Mathematical Modeling Improves Sleep Stage Prediction From Consumer-Grade Wearables
Wearable devices have become commonplace tools for tracking behavioral and physiological parameters in real-world settings. Nonetheless, the practical utility of these data for clinical and research applications, such as sleep analysis, is hindered by their noisy, large-scale, and multidimensional c...
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Veröffentlicht in: | Journal of biological rhythms 2024-12, Vol.39 (6), p.535-553 |
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Sprache: | eng |
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