Multimodal Sleep Stage Detection

4 papers with code • 4 benchmarks • 1 datasets

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

Datasets


Latest papers with no code

Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram

no code yet • 16 May 2019

Much attention has been given to automatic sleep staging algorithms in past years, but the detection of discrete events in sleep studies is also crucial for precise characterization of sleep patterns and possible diagnosis of sleep disorders.