Medicalexpertise in the comfort of your bed .
A 3 gram sensor displaying an unprecedented level of accuracy for home sleep testing technologies, comparable to test results obtained in professional sleep laboratories.
The clinical study involving 376 patients performed by a group of French, Belgian and American sleep experts, demonstrates unparalleled conformity of results between Sunrise measurements and polysomnography - the gold standard in sleep medicine diagnostics.
The graph demonstrates how closely related the Sunrise curve and the sleep laboratory measurements curves are.
goes above and beyond.
Apnea / hypopnea risk
Identifying if further medical analysis is required
Certified apnea / hypopnea measurements
Identifying the number of apnea / hypopnea events that doctors use for diagnosis
Describing events at each stage and predicting upcoming ones
Measuring recurrence of micro-arousals that lead to sleep fragmentation and nonrestorative sleep
Distinguishing between two forms of sleep apnea: obstructive and central
Total sleep time
Measuring number of events per night and assessing severity of the sleep disorder
Identifying how changes in head position impact sleep disorders
Calculating extent of teeth grinding throughout the night
Contextualising recorded measurements with answers to questionnaires used by sleep specialists
Clinically applicable results
Immediately providing accurate measurements for prescription of treatment by healthcare professionals
Sunrise is a certified medical device.
a certified medical device?
There is an actual difference between poorly regulated consumer goods and "certified medical devices" validated by law and used by doctors in their daily practice. Obtaining this certification takes several months of work.
01. The European Commission sets out regulations necessary for obtaining a "medical device" certification.
02. 52 notified bodies are in charge of verifying the development of the device and regulating quality over time.
03. Such quality audits take place at least once a year (1).
Our scientific publications
Artificial intelligence analysis of mandibular movements enables accurate detection of phasic sleep bruxism in OSA patients: a pilot study
Sleep bruxism can be reliably identified, quantified, and characterized with mandibular jaw movements when subjected to automated analysis supported by Artificial Intelligence technology.
Machine Learning-based Sleep Staging in Sleep Apnea Patients Using a Single Mandibular Movement Signal
The algorithm classified sleep epochs with substantial qualitative agreement with manual PSG scorers. A sleep stage-wise ROC curve analysis confirmed the well-balanced performance for each target sleep stage.
Automated sleep apnea diagnosis through mandibular movement monitoring coupled with machine learning analysis.
The performance of Sunrise not only favorably compares with but also, in many instances, surpasses the performance of other fully automated diagnostic devices.
Bruxism relieved under CPAP treatment in a patient with Obstructive Sleep Apnea syndrome.
Mandibular movements recording allows to identify not only OSA and RERA, but also bruxism.
Mandibular Movement Monitoring with Artificial Intelligence Analysis for the Diagnosis of Sleep Bruxism.
Sleep bruxism can be identified, quantified, and characterized with mandibular movements analysis supported by artificial intelligence.
The Polyvalent Role of Mandibular Movement Signal in Obstructive Sleep Apnea Syndrome Detection and Evaluation.
Mandibular movements are correlated with the key PSG indexes and contribute as importantly as AHI, RDI and ODI for the diagnosis and severity stratification of OSAS.
Design and Validation of a New Technology for Home-Based Screening of Sleep Apnea Syndrome.
Mandibular movements recording are the most important contributors for optimized OSAS screening approach, when interfaced with self-reported symptoms and co-morbidities.
The movements of the mandible provide information on the therapeutic efficacy of the mandibular advancement device
The study of mandibular movements during sleep provides precise information on the change in apnoea / hypopnoea indices during mandibular advancement device titration in the treatment of obstructive sleep apnoea.