Quantitative analysis of sleep EEG data can provide valuable additional information in sleep
research. However, analysis of data contaminated by artifacts can lead to spurious results. …

… Dorffner is CEO, Managing Director and 10% owner of The Siesta Group Schlafanalyse …
Danker-Hopfe H, Kunz D, Gruber G, et al. Interrater reliability between scorers from eight …

Interrater variability of sleep stage scorings has an essential impact not only on the reading
of polysomnographic sleep studies (PSGs) for clinical trials but also on the evaluation of …

… , Gruber G, Parapatics S, Miazhynskaia T, Woertz M, Klösch G, Zeitlhofer J, Dorffner G: Recent
… 45 Flexer A, Gruber G, Dorffner G: A reliable probabilistic sleep stager based on a single …

Background and objective: Skin cancer is among the most common cancer types in the white
population and consequently computer aided methods for skin lesion classification based …

Interrater variability of sleep stage scorings is a well‐known phenomenon. The SIESTA project
offered the opportunity to analyse interrater reliability (IRR) between experienced scorers …

The SIESTA project had two major goals: developing new tools for analyzing computer-based
sleep recordings and creating a reference database for sleep-related features. Basically, …

Objective: We developed a probabilistic continuous sleep stager based on Hidden Markov
models using only a single EEG signal. It offers the advantage of being objective by not …

The orexin system is a key regulator of sleep and wakefulness. In a multicenter, double‐blind,
randomized, placebo‐controlled, two‐way crossover study, 161 primary insomnia patients …

… 20 Danker-Hopfe H, Kunz D, Gruber G, Kloesch G, Lorenzo JL, Himanen SL, Kemp B,
Penzel T, Roschke J, Dorn H, Schloegl A, Trenker E, Dorffner G: Interrater reliability between …