Scientificpublications.
Decoding Sleep Apnea: 10 Years of Jaw-Dropping Discoveries.
Near-boundary Double-labelling Based Classification: The New Standard When Evaluating Performances of New Sleep Apnea Diagnosis Solution Against…
A new methodological approach called the near-boundary double-labeling (NBL) allows to assign individuals with apnea hypopnea index (AHI) in predefined near-boundary zones to two different categories…
Mandibular Movements are a Reliable Non-invasive Alternative to Esophageal Pressure for Measuring Respiratory Effort in Patients with Sleep Apnea…
This study aimed to determine if the mandibular jaw movement (MJM) bio-signal is a reliable surrogate of the esophageal pressure (Pes) gold-standard signal to measure respiratory effort during sleep.
Respiratory Effort During Sleep and Prevalent Hypertension in Obstructive Sleep Apnoea
The study showed that respiratory effort is a stronger predictor of OSA-related hypertension than common PSG-derived metrics such as the AHI.
Machine Learning-based Sleep Staging in Patients With Sleep Apnea Using a Single Mandibular Movement Signal
This prospective study included 1026 patients with suspected OSA who underwent an in-lab PSG with simultaneous recording of mandibular jaw movements (MJMs) using the Sunrise device.
Diagnosis of Sleep Apnoea Using a Mandibular Monitor and Machine Learning Analysis: One-Night Agreement Compared to In-Home Polysomnography
This study aimed to evaluate the diagnosis of OSA using measurements of mandibular jaw movements (MJM) combined with automated machine learning analysis compared to in-home PSG.
Clinical Validation of a Mandibular Movement Signal Based System for the Diagnosis of Pediatric Sleep Apnea
A prospective study in 140 children undergoing in‐lab PSG evaluated the accuracy of the Sunrise device to estimate respiratory efforts by monitoring sleep mandibular jaw movements (MJMs) for the…
Assessment of Mandibular Movement Monitoring With Machine Learning Analysis for the Diagnosis of Obstructive Sleep Apnea
This large study of 476 adults with and without OSA aimed to evaluate the automatic analysis of mandibular jaw movement (MJM) patterns as a reliable alternative to in-lab PSG for assessment of OSA.
Artificial Intelligence Analysis of Mandibular Movements Enables Accurate Detection of Phasic Sleep Bruxism in OSA Patients: A Pilot Study Gozal D,…
Artificial Intelligence Analysis of Mandibular Movements Enables Accurate Detection of Phasic Sleep Bruxism in OSA Patients: A Pilot Study Gozal D, Lavigne G, Pépin JL.
We are proud to work with some of
thebrightest experts in our field!
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Prof. Dr. Atul Malhotra
- M.D. Research Chief, Pulmonary, Critical Care and Sleep Medicine
- Peter C. Farrell Presidential Chair and Professor in Respiratory Medicine
- Former President, American Thoracic Society 2015-2016
- Acknowledged among the top 3 international experts in the field of Obstructive Sleep Apnea by expertscape.com
“Having been involved with some of the recent clinical research, I am impressed with the mandibular jaw movements bio-signal and its potential to provide comprehensive information to the clinician to diagnose various sleep disorders.”
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Prof. Dr. Jean-Louis Pépin
- M.D. Research Chief, Pulmonary and Sleep Medicine
- Head of the French registry of sleep apnea and a member of the European sleep apnea database (ESADA)
- Former President of the French Sleep Research and Medicine Society 2016
- Acknowledged among the top 3 international experts in the field of Obstructive Sleep Apnea by expertscape.com
“The performance of Sunrise, not only favourably compares with, but also, in many instances, surpasses the performance of other fully automated diagnostic devices.”
