--| Overview This archive stores the Danish Center for Sleep Medicine (DCSM) sleep staging dataset. The DCSM dataset consists of 255 randomly selected and fully anonymized overnight lab-based PSG reco
Sleep decoding is key to revealing sleep architecture and its links to health, yet prevailing deep-learning models rely on supervised, task-specific designs and dual encoders that isolate time-domain
Research Hypothesis The study hypothesizes that the distribution of data across training, validation, and test sets, categorized by awake and sleep states, will be balanced to support robust model per
The table shows global agreement rate measured by comparing (a) individual experts between themselves; (b) individual experts with SPINDLE; (c) the scoring intersection of two experts with the predict
