Validation of midsagittal jaw movements to measure sleep in healthy adults by comparison with actigraphy and polysomnography

Abstract

OBJECTIVE In a device based on midsagittal jaw movements analysis, we assessed a sleep-wake automatic detector as an objective method to measure sleep in healthy adults by comparison with wrist actigraphy against polysomnography (PSG). METHODS Simultaneous and synchronized in-lab PSG, wrist actigraphy and jaw movements were carried out in 38 healthy participants. Epoch by epoch analysis was realized to assess the ability to sleep-wake distinction. Sleep parameters as measured by the three devices were compared. This included three regularly reported parameters: total sleep time, sleep onset latency, and wake after sleep onset. Also, two supplementary parameters, wake during sleep period and latency time, were added to measure quiet wakefulness state.RESULTS The jaw movements showed sensitivity level equal to actigraphy 96% and higher specificity level (64% and 48% respectively). The level of agreement between the two devices was high (87%). The analysis of their disagreement by discrepant resolution analysis used PSG as resolver revealed that jaw movements was right (58.9%) more often than actigraphy (41%). In sleep parameters comparison, the coefficient correlation of jaw movements was higher than actigraphy in all parameters. Moreover, its ability to distinct sleep-wake state allowed for a more effective estimation of the parameters that measured the quiet wakefulness state.CONCLUSIONS Midsagittal jaw movements analysis is a reliable method to measure sleep. In healthy adults, this device proved to be superior to actigraphy in terms of estimation of all sleep parameters and distinction of sleep-wake status.

Sleep problems in adults with autism spectrum disorder and intellectual disability

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The prevalence of sleep-disordered breathing in Northwest Russia: The ARKHsleep study

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“… 24 Several studies have shown that jaw movement analysis is a reliable method for distinguishing sleep-wake status and thus can be used as an alternative to actigraphy. 25 – 27 The device can recognize the nature of SDB: central or obstructive. Supplemental Appendix 2 presents the Somnolter® device appearance and a screenshot of recorded signals.…”

“…We relied on the Jawac signal to estimate sleep-wake status and arousals. 25,26 Another limitation was that HSAT was performed only for one night, and night-to-night variability can also cause some misclassification.…”

Mandibular Movement Analysis to Assess Efficacy of Oral Appliance Therapy in OSA

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