Automatic Sleep Stage Classification
13 papers with code • 2 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Automatic Sleep Stage Classification
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Sleep-EDF
Montreal Archive of Sleep Studies
ISRUC-Sleep
Latest papers
Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging
Dreem-Organization/dreem-learning-open
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We developed a framework to compare automated approaches to a consensus of multiple human scorers.
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
pquochuy/sleep_transfer_learning
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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.
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
pquochuy/MultitaskSleepNet
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While the proposed framework is orthogonal to the widely adopted classification schemes, which take one or multiple epochs as contextual inputs and produce a single classification decision on the target epoch, we demonstrate its advantages in several ways.
