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

Bassam Chakar; Frédéric Senny; Anne-Lise Poirrier; Laurent Cambron; Julien Fanielle; Robert Poirrier

doi:10.5935/1984-0063.20170021

Sleep Science, Table of Contents

CC BY-NC-ND 4.0 · Sleep Sci 2017; 10(03): 122-127
DOI: 10.5935/1984-0063.20170021

ORIGINAL ARTICLE

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

Authors

Bassam Chakar

¹University Hospital of Liege, Sleep Center - Department of Neurology - Liège - Liège - Belgium
Frédéric Senny

²High School HELMo-Gramme, Electronic and Informatic Unit - Liège - Liège - Belgium
Anne-Lise Poirrier

³University Hospital of Liege, Rhinology and Facial Plastic Surgery - Liège - Liège - Belgium
Laurent Cambron

¹University Hospital of Liege, Sleep Center - Department of Neurology - Liège - Liège - Belgium
Julien Fanielle

¹University Hospital of Liege, Sleep Center - Department of Neurology - Liège - Liège - Belgium
Robert Poirrier

¹University Hospital of Liege, Sleep Center - Department of Neurology - Liège - Liège - Belgium

Abstract

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.

Keywords:

Actigraphy - Movement - Sleep Wake Disorders - Sleep

Full Text

References

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