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Computer-Aided Sleep-Phase classification from Polysomnography

Description

Algorithm that automates the construction of Hypnograms from Polysomnograms.

Publications

  • Samuel Michel (2023). Generalizable Automatic Classification of Sleep Stages.
  • Brunini, G. and G√ľnther, M. and Anjos, A. (2023). Deep Learning with Temporal Context for Sleep Stage Classification.

Advantages

This solution generalises better than existing tested alternatives. It only requires data from 2 EEG leads and 1 EMG (eye movements).

Applications

Automatic codification of Hypnograms from Polysomnograms in sleep clinics.

Technology Readiness Level

TRL 2

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