Koninklijke Philips Corporation N.v.

Scuola Superiore Di Studi Universitari E Di Perfezionamento Sant'anna

Angela Grassi

Mareike K Klee

Michael Thomas Kane

Cornelis Petrus Hendriks

Lutz Christian Gerhardt

Nicola Vitiello

Kiran Hamilton J Dellimore

Gregory Delano Matthews

Joyce Van Zanten

Teun Van Den Heuvel

Jozef Hubertus Gelissen

Privender Kaur Saini

Aleksei Agafonov

Pedro Miguel Ferreira Dos Santos Da Fonseca

Simona Crea

Nicolaas Gregorius Petrus Den Teuling

Raymond Charles Vasko, Jr

Matteo Cianchetti

Joachim Johannes Kahlert

Ioanna Sokoreli

Henricus Theodorus Johannus Antonius Gerardus Van Der Sanden

Andrea Parri

Elena Martini

Claire Yunzhu Zhao

Thomas Maria Falck

Rita Priori

David Aaron Troxell

Mareike Klee

Jr Raymond Charles Vasko

Rene Dick Kragt

A method and system for diagnosing, treating, and ameliorating sleep bruxism events using a positive airway pressure (PAP) system for treating obstructive sleep apnea to concurrently recognize bruxism events. At least one sensor is integrated into a therapy interface and/or headgear to detect physiological signals indicative of bruxism. In some exemplary embodiments, a loudspeaker and microphone are integrated into the interface, either near the nose or near the mouth of the patient. When integrated near the nose, the pair is used for acoustical rhinometry, and when integrated near the mouth, the pair is used for acoustical pharyngometry. In other exemplary embodiments, sound or vibration sensors are used to detect signals indicative of teeth grinding. In response to sensor detection of bruxism activity, the PAP system controller adjusts the PAP therapy settings or proposes alternative treatment modalities in order to stop or prevent bruxism events.

Diagnosis and treatment for OSA-related bruxism

The present disclosure describes a sleep staging system. The sleep staging system comprising: one or more sensors configured to generate output signals conveying information related to one or more breathing parameters of subject; and one or more physical computer processors operatively connected with the one or more sensors, the one or more physical computer processors configured by computer readable instructions to: determine, based on the output signals, one or more breathing features of individual breaths of the subject; determine a distribution of the one or more breathing features over one or more time windows; detect presence of a breathing event based on the output signals; determine sleep states of the subject with a sleep stage classifier model based upon the distribution of the breathing features and the one or more breathing events; and provide feedback indicating the sleep states.

Systems and methods for using breath events in sleep staging

The present disclosure describes a sleep staging system. The system comprises: one or more sensors configured to generate output signals conveying information related to breathing parameters of subject during a respiratory therapy session; and one or more physical computer processors configured by computer readable instructions to: determine, based on the output signals, one or more breathing features of individual breaths of the subject; determine a distribution of the one or more breathing features over a plurality of time windows, at least one of the time windows having a length of at least 60 seconds; determine sleep states of the subject by mapping the distribution of the breathing features to one or more sleep states using a sleep stage classifier model, the sleep stage classifier model configured to determine the sleep states; and provide feedback indicating the sleep states during the respiratory sleep session.

Systems and methods for sleep staging

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Eindhoven, Netherlands

Angela Grassi