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 Günther, M. and Anjos, A. (2023). Deep Learning with Temporal Context for Sleep Stage Classification.

Links

• Repository: https://gitlab.idiap.ch/biosignal/software/sleepless

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

Contact us for more information

• Interested in using our technologies?
• Interested to know more about the licensing possibilities and conditions?

Contact us