The brain plays a critical role in maintaining upper airway patency by contracting muscles which are attached to a mobile bone called the mandible.
The mandibular movements reveal the changes in the trigeminal motor nucleus activity driven by the brainstem center. These mandibular movements are a direct proxy of how the sleeping centers in the brain regulate sleep and respiration, informing about the major events required for characterizing sleep apnea:
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Published in 2022
In OSA patients, MM signals facilitated the measurement of specific levels of RE associated with obstructive, central or mixed apneas and/or hypopneas. A high degree of similarity was observed with the PES gold-standard signal.
Published in 2022
The diagnosis of OSA, using MM with machine learning analysis, is comparable to manually scored in-home PSG. Therefore, this novel monitor could be a convenient diagnostic tool that can easily be used in the patients’ own home.
Published in 2021
Sleep bruxism can be reliably identified, quantified, and characterized with mandibular jaw movements when subjected to automated analysis supported by Artificial Intelligence technology.
Published in 2021
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.
Published in 2020
The performance of Sunrise not only favorably compares with but also, in many instances, surpasses the performance of other fully automated diagnostic devices.
Published in 2021
MM automated analysis shows significant promise to diagnose moderate-to-severe pediatric OSA.
Published in 2020
Mandibular movements recording allows to identify not only OSA and RERA, but also bruxism.
Published in 2020
Sleep bruxism can be identified, quantified, and characterized with mandibular movements analysis supported by artificial intelligence.
Published in 2020
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.
Published in 2020
Mandibular movements recording are the most important contributors for optimized OSAS screening approach, when interfaced with self-reported symptoms and co-morbidities.
Published in 2019
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.
“Having been involved with some of the recent clinical research, I am impressed with the mandibular movement signal and its potential to provide comprehensive information to the clinician to diagnose various sleep disorders.”
“The performance of Sunrise, not only favourably compares with, but also, in many instances, surpasses the performance of other fully automated diagnostic devices.”