Multimodal Sleep Stage Detection

2 papers with code • 4 benchmarks • 1 datasets

Using multiple modalities such as EEG+EOG, EEG+HR instead of just relying on EEG (polysomnography)


Greatest papers with code

Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning

pquochuy/sleep_transfer_learning 30 Jul 2019

We employ the Montreal Archive of Sleep Studies (MASS) database consisting of 200 subjects as the source domain and study deep transfer learning on three different target domains: the Sleep Cassette subset and the Sleep Telemetry subset of the Sleep-EDF Expanded database, and the Surrey-cEEGrid database.

Automatic Sleep Stage Classification Multimodal Sleep Stage Detection +2