Processing of signals recorded through smart devices: sleep-quality assessment

Anna Maria Bianchi1, Martin Oswaldo Mendez, Sergio Cerutti

  • 1Department of Biomedical Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, Milano 20133, Italy. annamaria.bianchi@polimi.it

Summary

This study explores using heart rate variability (HRV) and respiratory signals for sleep evaluation, achieving 89.9% accuracy in sleep staging and 88% in sleep apnea detection via wearable devices.

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