3 papers
cs.HC2025
World of ScoreCraft: Novel Multi Scorer Experiment on the Impact of a Decision Support System in Sleep Staging
Benedikt Holm, Arnar Óskarsson, Björn Elvar Þorleifsson +8
Manual scoring of polysomnography (PSG) is a time intensive task, prone to inter scorer variability that can impact diagnostic reliability. This study investigates the integration…
cs.HC2024
An Optimized Framework for Processing Large-scale Polysomnographic Data Incorporating Expert Human Oversight
Benedikt Holm, Gabriel Jouan, Emil Hardarson +6
Polysomnographic recordings are essential for diagnosing many sleep disorders, yet their detailed analysis presents considerable challenges. With the rise of machine learning metho…
cs.LG2023
aSAGA: Automatic Sleep Analysis with Gray Areas
Matias Rusanen, Gabriel Jouan, Riku Huttunen +10
State-of-the-art automatic sleep staging methods have already demonstrated comparable reliability and superior time efficiency to manual sleep staging. However, fully automatic bla…