PSG-IPA: A PolySomnoGraphic Inter-scorer Performance Assessment database

This dataset, named PolySomnoGraphic Inter-scorer Performance Assessment (PSG-
IPA) database, comprises 20 polysomnography (PSG) recordings and related
multi-expert scoring annotations. It was utilized in a study to evaluate
inter-scorer variability, specifically assessing reliability and scoring times
associated with various PSG review tasks. The study also aimed to compare the
impact of computer-assisted (semi-automatic) scoring versus unassisted visual
analysis on these factors.

The dataset includes recordings of common raw PSG signal activity, such as
electroencephalography (EEG), electrooculography (EOG), electromyography (EMG)
of both the chin and lower limbs, electrocardiography (ECG), and various
respiratory derivations. Each recording is accompanied by both manual and
computer-assisted scorings, performed by 12 independent expert sleep
technologists. This comprehensive resource offers significant value for
further research into PSG inter-scorer variability, as well as for the
development and performance assessment of automated sleep stage and event
detection algorithms.