#SleepScoreModels

2023-11-16

Students from Aarhus University in #Denmark developed tools to train neural networks for sleep research on the LUMI supercomputer.

This significant contribution to international #research will facilitate loading more sleep data sets, leading to better sleep scoring models and more accurate interpretations of sleep data👉 connect.geant.org/2023/11/15/b

Also featured on #CONNECT44 👉 connect.geant.org/connect44

#SleepResearch #SleepData #NeuralNetworks #HPC #SleepScoreModels #DeiC #LUMIhpc #ML @nordunet

Woman wearing a ‘partial PSG’ setup for sleep monitoring, including EEG and EOG electrodes. Credits to Kaare Mikkelsen

Client Info

Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst