Three graduated modules for the evaluation of sleep data – from individual screening to continuous study support.
Single-night evaluation: recording of sleep stages, arousal reactions, and oxygen saturation. Suitable for initial assessment in the sleep laboratory or as a pre-screening before further diagnostic procedures.
Multi-night measurement with analysis of heart rate variability, breathing patterns, and movement profiles. The AI-supported evaluation generates an individual diagnostic report with recommendations for further treatment.
Continuous data collection over several weeks, anonymized exports, and statistical processing for study protocols. Includes regular coordination with the scientific team.
Connection to the facility's existing infrastructure: staff training, adaptation of evaluation routines, and ongoing support for daily clinical operations.
How clinics and research partners use our sleep analysis in everyday settings
The evaluations give us clear indications of where a sleep disorder begins and which parameters are decisive for each individual patient. This noticeably shortens the diagnostic time.
We have been using the platform for two years to evaluate nocturnal respiratory recordings. The automatic detection of arousals matches our manual assessment in over 90 percent of cases. This saves about 40 minutes of evaluation time per night.
Dr. med. Petra Hainzl, Head of the Sleep LaboratoryFor our patients with chronic fatigue, it was previously unclear whether the tiredness was sleep-related or due to other causes. The bioanalysis revealed irregular sleep architecture in several cases that had been overlooked in standard screening.
Mag. Florian Reiter, Head of the Department of Internal MedicineThe AI-supported evaluation provides us with consistent data sets across multiple measurement nights. The display of recovery cycles over the course of the week is particularly helpful—this allows us to identify patterns that remain hidden in single-night measurements.
Univ.-Prof. Dr. Sabine Gruber, Institute for Sleep ResearchThe transition from paper-based protocols to digital analysis was easier than expected. The graphical overviews of sleep stages and nocturnal interruptions are immediately understood even by patients without a medical background.
Mag. Julia Steiner, certified sleep consultantOur platform combines clinical sleep diagnostics with AI-powered data analysis. This turns measurement data into concrete recommendations for clinics, practices, and research institutions.
Services in DetailWe segment sleep into wake, light, deep, and REM stages. Automatic detection is based on EEG, EOG, and EMG signals and provides a precise hypnogram representation.
Stage distribution per nightThe analysis focuses on the continuity and depth of sleep cycles. Notable interruptions or missing deep sleep portions are automatically flagged and interpreted in the context of the patient's history.
Cycle duration & deep sleep proportionHeart rate, oxygen saturation, and breathing patterns are included in the evaluation. The correlation of these parameters with sleep stages provides indications of nocturnal breathing disorders or cardiovascular strain.
Multiparametric correlationFrom the analyzed patterns, the system generates recommendations for sleep hygiene, light exposure, and behavioral adjustments. Medical facilities receive a prioritized list of potential intervention points.
Prioritized action recommendations